Algeria: national final energy consumption by fuels.
\\n\\n
Dr. Pletser’s experience includes 30 years of working with the European Space Agency as a Senior Physicist/Engineer and coordinating their parabolic flight campaigns, and he is the Guinness World Record holder for the most number of aircraft flown (12) in parabolas, personally logging more than 7,300 parabolas.
\\n\\nSeeing the 5,000th book published makes us at the same time proud, happy, humble, and grateful. This is a great opportunity to stop and celebrate what we have done so far, but is also an opportunity to engage even more, grow, and succeed. It wouldn't be possible to get here without the synergy of team members’ hard work and authors and editors who devote time and their expertise into Open Access book publishing with us.
\\n\\nOver these years, we have gone from pioneering the scientific Open Access book publishing field to being the world’s largest Open Access book publisher. Nonetheless, our vision has remained the same: to meet the challenges of making relevant knowledge available to the worldwide community under the Open Access model.
\\n\\nWe are excited about the present, and we look forward to sharing many more successes in the future.
\\n\\nThank you all for being part of the journey. 5,000 times thank you!
\\n\\nNow with 5,000 titles available Open Access, which one will you read next?
\\n\\nRead, share and download for free: https://www.intechopen.com/books
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
Preparation of Space Experiments edited by international leading expert Dr. Vladimir Pletser, Director of Space Training Operations at Blue Abyss is the 5,000th Open Access book published by IntechOpen and our milestone publication!
\n\n"This book presents some of the current trends in space microgravity research. The eleven chapters introduce various facets of space research in physical sciences, human physiology and technology developed using the microgravity environment not only to improve our fundamental understanding in these domains but also to adapt this new knowledge for application on earth." says the editor. Listen what else Dr. Pletser has to say...
\n\n\n\nDr. Pletser’s experience includes 30 years of working with the European Space Agency as a Senior Physicist/Engineer and coordinating their parabolic flight campaigns, and he is the Guinness World Record holder for the most number of aircraft flown (12) in parabolas, personally logging more than 7,300 parabolas.
\n\nSeeing the 5,000th book published makes us at the same time proud, happy, humble, and grateful. This is a great opportunity to stop and celebrate what we have done so far, but is also an opportunity to engage even more, grow, and succeed. It wouldn't be possible to get here without the synergy of team members’ hard work and authors and editors who devote time and their expertise into Open Access book publishing with us.
\n\nOver these years, we have gone from pioneering the scientific Open Access book publishing field to being the world’s largest Open Access book publisher. Nonetheless, our vision has remained the same: to meet the challenges of making relevant knowledge available to the worldwide community under the Open Access model.
\n\nWe are excited about the present, and we look forward to sharing many more successes in the future.
\n\nThank you all for being part of the journey. 5,000 times thank you!
\n\nNow with 5,000 titles available Open Access, which one will you read next?
\n\nRead, share and download for free: https://www.intechopen.com/books
\n\n\n\n
\n'}],latestNews:[{slug:"intechopen-partners-with-ehs-for-digital-advertising-representation-20210416",title:"IntechOpen Partners with EHS for Digital Advertising Representation"},{slug:"intechopen-signs-new-contract-with-cepiec-china-for-distribution-of-open-access-books-20210319",title:"IntechOpen Signs New Contract with CEPIEC, China for Distribution of Open Access Books"},{slug:"150-million-downloads-and-counting-20210316",title:"150 Million Downloads and Counting"},{slug:"intechopen-secures-indefinite-content-preservation-with-clockss-20210309",title:"IntechOpen Secures Indefinite Content Preservation with CLOCKSS"},{slug:"intechopen-expands-to-all-global-amazon-channels-with-full-catalog-of-books-20210308",title:"IntechOpen Expands to All Global Amazon Channels with Full Catalog of Books"},{slug:"stanford-university-identifies-top-2-scientists-over-1-000-are-intechopen-authors-and-editors-20210122",title:"Stanford University Identifies Top 2% Scientists, Over 1,000 are IntechOpen Authors and Editors"},{slug:"intechopen-authors-included-in-the-highly-cited-researchers-list-for-2020-20210121",title:"IntechOpen Authors Included in the Highly Cited Researchers List for 2020"},{slug:"intechopen-maintains-position-as-the-world-s-largest-oa-book-publisher-20201218",title:"IntechOpen Maintains Position as the World’s Largest OA Book Publisher"}]},book:{item:{type:"book",id:"2226",leadTitle:null,fullTitle:"The Development and Application of Microwave Heating",title:"The Development and Application of Microwave Heating",subtitle:null,reviewType:"peer-reviewed",abstract:"Microwave heating has found many applications ranging from the microwave ovens in kitchen to heat food, to a sterilization apparatus for medical treatment, to materials processing in the various fields. 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\r\n\tHumans have always managed their environments, but modern environmental management is based on the development of models that reflect our understanding about how humans relate to nature. Environmental management is a constantly changing decision-making process that is driven by our capacities to identify problems and rectify the problems based upon data that inform our perspectives. Professional environmental managers employ an array of technologies to measure, monitor, and manage the components of our environments to achieve the goals that businesses, organizations, and agencies deem important.
\r\n\r\n\tThis volume will include studies of the many facets of environmental management that scholars offer from all disciplinary perspectives, about all types of environmental management, occurring anywhere in the world. The desire is to produce a text that offers a diversity of experiences and highlights many perspectives about environmental management of the past, present, and future.
\r\n\r\n\tThe chapters can feature studies: in which people must be managed to improve environmental quality; where nature must be managed to fit human environmental needs and desires; when environments must be monitored to maintain and guide environmental management; when modeling provides key insights to predict and respond to environmental issues; where environments or systems must be restored before environmental management can proceed to maintain desired conditions; or where the processes of environmental management have failed, broken down, or generated other management problems. Virtually any topic related to environmental management is likely to fit within the conversations promoted in this book.
\r\n\t
The fossil fuel price fluctuations have large impacts on the economy and often with implications for political stability both for importer countries [1, 2] and for exporter countries, as Middle East and North African (MENA) countries1, because of its predominance of state revenues. In 2017, the GDP of MENA countries has been more less of 4% [3] of World GDP, while in terms of hydrocarbon production, they accounted the 30% of total world production of oil and natural gas [4]. According to WTO [5], the total merchandise exports of MENA countries are only 6% of total world export, but this amount rises to 26% in terms of world fuel export, with difference among the countries (see Figure 1). In Algeria, Iraq, and Kuwait, for example, more than 90% of export is linked to the fuel (respectively, 96%, 94%, and 90%), while in Egypt and in the United Arab Emirates, the percentage falls to 20%, and only in some cases (Israel, Morocco, the Lebanese Republic, and Jordan) the contribution to the fuel export is very residual.
\nPercentage of fuel export on total merchandise export in MENA countries, 2017. Source: our elaboration on [
According to Arent et al. [2], many developing countries—particularly MENA countries—may possess an inherent comparative advantage due to the availability of significant renewable energy sources (solar, wind, geothermal, bioenergy, etc.), and taking into consideration the nature of renewable energy particularly relevant for rural and isolated area, it will provide unprecedented opportunity to guarantee electricity access to the poorest citizens. Betting on the renewable sources means obtaining double benefits: on one hand, to assure an economic growth to the citizens [2] and on the other hand, to make fossil resources available for export before to realize a full clean energy transition. Moreover, investing in renewable energy is necessary to achieve the commitments under Paris Agreement on climate change, in general, in order to reduce GHG emissions linked to the use of fossil fuel. This transition toward clean energy boosts the debate on stranded asset, where assets suffer from unanticipated or premature write-offs, downward revaluations, or conversion to liabilities [6], and renewable and energy efficiency investments can be considered a mitigation strategy versus stranded asset risks related to hydrocarbon core business.
\nA variety of factors could lead to assets becoming stranded: new government regulations that limit the use of fossil fuels (like carbon pricing), boom in more cost-effective (economically, environmentally, and socially) alternatives, a change in demand, and, of course, growing unpopularity with the public opinion [6, 7].
\nThe competitiveness of fossil fuel companies is rapidly losing its attractiveness at an accelerated rate, causing serious problems especially for those countries whose state balance is based on these assets.
\nIn particular, the developing countries are:
Highly exposed to a decline in fossil fuel demand, consequently to a fall in fossil fuel prices;
Less able to diversify away from this risk;
Themselves under pressures to implement policies that may expose them to further risk [8];
The world economy is gradually “decarbonizing” with a continued trend and a deep change in the financial world. Now, many institutions, sovereign wealth funds, banks, global asset managers and insurance companies, cities, pension funds, healthcare organizations, universities, faith groups, and foundations have committed to ban fossil fuel investments2.
\nAccording to APIC [9], MENA region will maintain upstream investments with total investment for 2019–2023 near one trillion dollars (see Figure 2) even if the 5-year GDP growth forecast has declined. Raising capital is one of the major challenges for regional governments, and recent efforts to attract foreign investment have seen signs of caution from investors, especially taking into consideration the economic performance, solvency, and political reliability of some countries. All these considerations mean that the risk of stranded assets for fossil fuel companies is growing [8].
\nTotal planned and committed MENA energy investment 2019–23 (USD billion). Source: [
This work is partially based on the research financed by the meetMED project (WP 3.1) on barriers for domestic and international investors in the energy sector of Algeria.
\nAlgeria, officially the People’s Democratic Republic of Algeria, is a country in the Maghreb region of North Africa that, with its 2,381,741 square kilometers, is the 11th largest country in the world and the largest in Africa [10].
\nThe country is a semi-presidential republic consisting of 48 provinces and 1541 communes (counties) where the legal system is based on a mix of French civil law and Islamic law. In fact, after more than a century of rule by France, Algerians fought through much of the 1950s to achieve independence in 1962.
\nAlgeria’s economy remains dominated by the state, through its state-owned companies which manage the rich fossil fuel resources of the country. Recently, the Algerian government has suspended the process of privatization of state-owned industries and companies, imposing restriction on imports and on the participation of foreigners in its economy [10]. In this way, a very explicit import substitution policy has been realized to support the economy of the country and to reduce the uncontrolled exposure to the foreign interference.
\nThe hard core of Algerian economy has long been the hydrocarbons which account for broadly 30% of GDP, 60% of budget revenues, and nearly 95% of export earnings. Hydrocarbon exports enabled Algeria to maintain macroeconomic stability, amass large foreign currency reserves, and maintain low external debt while global oil prices were high.
\nSince 2014, the Algerian economy has to face the crisis linked to the lower oil prices. In fact, the national foreign exchange reserves were halved and the oil stabilization fund collapsed sharply, reaching its legal minimum value of $7 billion in 2017, compared to a much higher value of $20 billion in 2013, and the large subsidies for the population has fallen under stress [10].
\nDue to the declining oil prices, the government has been under pressure to reduce spending; therefore, it has reduced its ability to distribute rents and fund generous public subsidies.
\nAccording to the African Development Bank (AfDB) [11], in many African countries, energy subsidies constitute a considerable fiscal burden, and its contribution to GDP has remained substantially relevant in the time despite the trend of international oil prices. In particular, among oil-exporting economies, there are countries (i.e., Angola, Cameroon, and Nigeria) in which the share of energy subsidies on GDP has the same both in the pre-peak period (2013–2014) and in the post-peak period (2015–2017) but in some others (i.e. Libya, Algeria, and the Congo) where the share increased (Figure 3).
\nEnergy subsidies as a share of nominal GDP (African oil exporters, 2013–2014 and 2015–2017). Source: [
The AfDB suggests that subsidy reforms must be geared toward more-efficient and better targeted social safety nets for the most vulnerable. This could improve public finance management, create more fiscal space for much needed public investments in infrastructure, and improve the debt situation.
\nOver the past 3 years, the Algerian government has enacted incremental increases in some taxes, especially in value-added tax, resulting in modest increases in prices for gasoline and certain imported goods. However, the government is not disposal to reduce subsidies because these subsidies represent measures to assure benefits to poorest people of the country financing some essential services as education, healthcare, and housing programs.
\nSince 2015, Algeria has strengthened protectionist measures to limit its import bill and encourage greater contribution on GDP of domestic production from non-hydrocarbon industries but also impose additional restrictions on access to foreign exchange for imports.
\nIn 2016, Algerian GDP has increased by 3.8% as the previous year but with different drivers. In fact, the good performance is referred to the recovery in hydrocarbon production, which grew by 3.6% (compared with +0.4% in 2015), more than offsetting the slowdown in growth in the non-hydrocarbon sector, which rose from +5% in 2015 to +3.9 in 2016. The performance of the non-hydrocarbon sector was heavily affected by the slowdown in agriculture due to particularly unfavorable weather conditions, in energy due to the high weight of hidden subsidies, in water, and in other residual industrial sectors [12].
\nIn 2017, the slight decline of hydrocarbon production together with the light growth of non-hydrocarbon sector performance has exerted pressure on the Algerian economy.
\nReal GDP has grown of only 2.1% rather than 3.3% of the previous year due mainly to the modest production of hydrocarbon sectors. In fact, the hydrocarbon production decreased by 1.4% while the non-hydrocarbon sectors slightly increased to 2.5% (against 2.3% of 2016) due to the inversion of fiscal consolidation happened in second middle of 2017. Inflation remains high although lower than in 2016 (5.5% in 2017 against 6.4% in 2016) [13].
\nGrowth is expected to recover sharply in 2018 as fiscal expansion takes hold. As new public investments announced in the 2018 budget are carried out, headline growth and inflation will increase. As a result, GDP growth will have difficulty to exceed the 2% threshold for 2019–2020, which is a very limited growth for a middle-income country with a high youth population. So, for the next years, many analysts agree to affirm that while the production by new oil wells will boost the economy growth, the progressive increment of contribution to the GDP of non-hydrocarbon sectors could permit to support the fiscal consolidation. In fact, the international oil price fluctuations have underlined the weakness and the fragility of the Algerian economic model and the need to rethinking to a deep structural transformation in which reduce the dependency from hydrocarbon sectors [13].
\nPublic spending decreased by less than expected due to difficulties in pursuing the 2017 budget target. In fact, since the end of the 1990s, Algeria has made massive investments in health and education in response to the pressing needs of its people, while also working to close large infrastructure gaps. In the current fiscal framework (2018–2020), adopted in the 2018 Budget Law, public spending will remain very high and will not be offset by a potential increase of government revenues due to an expected pickup in oil price and production [13].
\nPublic investment has been about 20% of non-hydrocarbon GDP on average since 2000, much larger than in comparator countries. Reflecting the country’s policy priorities, Algeria allocated on average about 70% of public investment to economic (i.e., roads, ports, rails, airports, and power and energy) and social infrastructure (such as housing, health, education) [14].
\nAlthough imports increased slightly, by 2.7% in 2017, exports have increased significantly, by 16.5%. As a result of continued deficits and limited capital inflows, the country’s international reserves declined sharply. Nonetheless, external debt remains very low [13].
\nIn Algerian economy, the role of the state is predominant. Consequently, the public investments are essential to boost the economy. For example, in 2015, the state alone invested the 49% of total gross accumulation of fixed funds. At the same time, the public employment engaged mainly on the labor force in the country: by 2017, the central government employment alone absorbed about 20% of total formal employment. Considering the whole public employment, around 40% of total formal employment is more or less connected to the public staff [14]. The unemployment rate is particularly high (around 12), reflecting the sluggish non-hydrocarbon growth with women participation lower.
\nThe Algerian economy is characterized by a strong dependence on the international price of oil, which is the main source of revenue for the state budget. The oil and gas sector is the backbone of the economy, accounting for about 20% of the gross domestic product, and 85% of total exports [15].
\nAlthough Algeria remains a relatively closed economy, the government needs to diversify its economy away from hydrocarbons especially since oil prices started falling dramatically in 2014 [16]. So, a range of import restrictions have also been introduced in recent years, as the government attempted to boost domestic production capacity and reduce imbalances in the external accounts.
\nOil and gas accounted two thirds of state revenues and, consequently, when financial incentives such as generous subsidies and free housing proved insufficient in stifling popular dissent, these revenues helped the security apparatus acquire the coercive means to repress it [16].
\nAlgeria’s high vulnerability to volatile international oil prices exposes it to a high risk of a prolonged economic slowdown. In fact, the predominantly state and nontransparent economic system creates a mistrustful environment for foreign investment, in which state contracts are based on personal knowledge rather than on merit or efficiency, and ends up supporting industries that are not competitive at the international level.
\nThese inefficiencies have also affected the energy sector, which has led to a further economic slowdown. As a result, Algeria became the only OPEC member to pump below the allowed quota as its production decreased, despite efforts to attract new investment.
\nThe budget deficit was significantly reduced in percent of GDP, due to lower spending and higher revenue, but the decline in non-hydrocarbon deficit was more moderate, and deficits were financed largely by drawing on savings in the oil fund, which was depleted in 2017 [17].
\nIn addition to a particularly weak economy, Algeria must also address the threats posed by the climate change that is taking place: most of the country is arid or semiarid; the yearly average rainfall declined by more than 30% over the past decades; more than 50 million of hectares face highly deteriorated conditions; the exodus of rural population toward large cities; and the decline in water resources [18].
\nSo, taking into account the international commitment due to the Paris Agreement and its goals, even underlining limited responsibility in terms of accumulation of GHG as a developing country, the Algerian government declared its willingness to make its contribution as condition of new financial resources, to be combined with traditional partners, and/or of transfer of clean technologies under favorable conditions.
\nIn 2016, the government published details of its “new growth model” to face the significant drop in oil prices, recognizing that its vast system of government subsidies is unsustainable and needs to be revised and the need to boost non-hydrocarbon industries.
\nAlgeria has not financed its deficit through increased external debt, which remains negligible at less than 2% of GDP. Likewise, government debt, consisting mainly of domestic debt, is limited to 40% of GDP.
\nThe volatility of oil prices, the weakness of its economy, the decline in non-oil industrial productivity, and the fueling unemployment bring the government to rethink its vision. This context led authorities in 2016 to adopt the New Economic Growth Model 2016–2030 [19], aimed at structural transformation to reduce the state’s role while enhancing that of the private sector and limiting dependency on hydrocarbon revenues. The main reforms relate to improving the business climate and replacing direct and indirect subsidies with targeted social protection for low-income population [11]. All have faced resistance from entrenched economic interests and institutional inertia, which forced them to backpedal on reform [16].
\nAccording to the document, subsidies must to be rethinked: in all sectors of the public service (electricity, gas, water, rail transport, telecommunications), tariffs are kept at levels lower than the cost of operations for more than a decade for social considerations.
\nThe document proposes to diversify the economy with a focus on renewable energy, agriculture, and industry. Algeria has long aimed to diversify its largely state-controlled economy, but investment has been hampered by state bureaucracy and inertia.
\nIn addition, the “New Economic Growth Model” aims to promote, among other points, some structural reforms, such as the energy subsidy reform. According to this new vision of economy, the Algerian government, together with the World Bank, has analyzed a strong reform mainly to help vulnerable people of the country. Meanwhile, the government is studying a structural reform plan to modernize the entire system (i.e., simplify business regulations, improve governance and transparency, reform the pension system, and modernize the financial sector). This is a further signal to enhance the country’s business climate, which also includes opening up the maritime and airfreight transport sector to the private sector [17].
\nAlgeria aims to reconcile the energy transition and the fight against climate change with the objective of ensuring the right level of well-being for the population, especially the youngest.
\nAlgeria, a country severely affected by desertification, is—like other countries in Africa and in the south of the Mediterranean—particularly vulnerable to the multiform effects of climate change that threaten to undermine its economic and social development [18].
\nAt the same time, the Algerian hydrocarbon energy sector has the main pillar of country’s economy both for state balance thanks to export revenues and for the availability of fossil fuel sources.
\nAlgeria’s economic performance is highly dependent on the trend in the international price of hydrocarbons, and this has prompted former President Bouteflika to announce—in autumn 2017—Algeria’s intention to actively engage in the development of its unconventional energy resources. Algeria has thus committed itself to developing non-hydrocarbon industries, on the one hand tackling the problems associated with heavy regulation and on the other the high emphasis on the growth that the state fears. Algeria has not increased its hydrocarbon exports in this way, but they have decreased due to the progressive exhaustion of deposits and the simultaneous increase in domestic demand [10].
\nAlgeria has the 10th largest reserves of natural gas in the world—including the 3rd largest reserves of shale gas—and is the 9th largest gas producers; it ranks 7th largest gas exporters, 3rd largest gas liquefaction capacity [20, 21], and the 7th largest natural gas liquids producers but also 16th in proven oil reserves [10].
\nIn the recent years, Algeria has beginning to diversify its energy sector through solar energy in order to increase its energy independence. Despite a considerable potential, the share of renewable energies in the energy balance is still low especially in the production of electricity. According to Ghezloun et al. [22], the only condition that the energy mix of Algeria will grow potential of renewable energy is the policy support and encouragement to the introduction of hybrid possibilities, including electricity generation by the private sector.
\nHowever, the government aims to develop a photovoltaic industry and, more generally, the renewable energy sector, in order to achieve a win-win strategy in which, on the one hand, a greater share of gas is released for export, thus ensuring the stability of its balance sheet and, on the other hand, the energy necessary for the development of the country’s production structure is guaranteed. From the latter point of view, in addition to aiming at a diversification of the source of energy supply, the diversification of the production structure also moves toward the development of sectors and industrial sectors other than the traditional sectors based on hydrocarbons [23].
\nThe energy demand of Algeria is completely covered by its own production, which is almost fully based on fossil fuels. Natural gas is the primary source of power generation contributing to over 93% of installed power capacity. The share of renewable energies in the energy mix is only around 3.4% and until recently was largely dominated by hydropower.
\nLooking to the Algerian energy flows (Figure 4), in 2017, the primary energy production was 165.6 Mtoe with an increasing gas production covering the light decline of liquids (oil and LPG) due to the OPEC agreement of reducing oil supply. The contribution of primary electricity was double compared to 2016 thanks to new renewable energy capacity: 5 new PV plants, equal to a 125 MW total. The natural gas remained the main source followed by oil. The same breakdown is seen for final energy consumption (see Table 1), provided by Ministère de l’Energie [24, 25, 26, 27, 28] where natural gas remains the main source used to cover 37% of final energy consumption in 2017, followed by electricity (30%).
\nSynthesis of energy flows (Mtoe) in 2017. Source: [
Algeria is moving toward renewable energy direction, having announced a substantial 20-year plan for solar development, which calls for 5% renewable energy installed capacity by 2017, and 20% by 2030, of which 70% would be CSP, 20% PV, and the remaining 10% wind power [23]. Hosting one of the world’s first Integrated Solar Combined Cycle (ISCC) plants (the ISCC Hassi R’mel is a 150-MWe combined cycle hybridized with a 25-MWe equivalent CSP solar field. It was the first ISCC plant in the world to start construction although Morocco’s ISCC Ain Beni Mathar was the first operating plant of this type in the world [29]), Algeria also has gained a valuable insight into the development, construction, and operation of this type of plant.
\nApproximately 6.2% of gas production was oriented to the production of electricity (17.5 Mtoe vs 16.5 Mtoe in 2016).
\nThe export volume was equal to 108.3 Mtoe, in reduction of −2.2% compared with 2016. This decline affected almost all products except LNG and electricity, which recorded increases of 5.7% and 71.2%, respectively. Imports, 4.2 Mtoe, were mainly linked to a derived energy (3.9 Mtoe) due to imports of coke and electricity, which offset the decline in imports of petroleum products (−3.4%), but while remaining a net exporter (104.1 Mtoe).
\nNational final energy consumption (including losses) reached 59.6 Mtoe in 2017, mainly driven by final consumption (+4.1%). Conversely, non-energy consumption, which refers to the quantities consumed as raw material in the petrochemical and other industries, fell by −19.5%, followed by the consumption reduction of energy industries (−5.1%).
\nThe general approach and strategy intended by the Algerian Ministry of Energy and Mines is constituted by decree no. 07-266, dating on 9 September 2007 describing the function and role of the Ministry with respect to the intentions of the Algerian government.
\nIn particular, in Art. 1, the Ministry commits to the elaboration of political and strategic research; the production and valorization of hydrocarbon, mineral, and energetic resources; and the embedment of the respective industry in this sector, while in Art. 5 it furthermore commits to the necessary studies and research and the promotion of sources of renewable energy.
\nAlgeria has embarked on renewable energies in order to provide both global and sustainable solutions to environmental challenges and fossil fuel resource conservation. To achieve these two targets, Algeria has launched an ambitious programme for the development of renewable energy which was adopted by the Government in February 2011 (Renewable Energy and Energy Efficiency Development Plan 2011–2030) and revised in May 2015 in terms of some adjustment of the renewable targets.
\nSome energy policies to support the implementation of renewable energy sources were made since 2004 (Law on Renewable Energy Promotion, see Table 2, data provided by IEA [30]), before as studies of technologies (research program) and regulatory instruments than as economic instrument to promote renewable energy resource through incentives (feed-in tariffs, premiums, or direct incentives).
\n\nMtoe | \n2005 | \n2010 | \n2015 | \n2016 | \n2017 | \n
---|---|---|---|---|---|
Natural gas | \n13.14 | \n14.46 | \n21.35 | \n21.73 | \n22.03 | \n
Oil and oil products | \n10.54 | \n13.27 | \n17.88 | \n17.18 | \n16.97 | \n
Electricity | \n9.75 | \n12.20 | \n16.41 | \n16.88 | \n17.81 | \n
Others | \n2.83 | \n2.68 | \n2.63 | \n2.55 | \n2.77 | \n
Total energy consumption | \n36.19 | \n43.82 | \n58.27 | \n58.34 | \n59.58 | \n
Title | \nYear | \nPolicy type | \n
---|---|---|
Renewable Energy and Energy Efficiency Development Plan 2015–2030 | \n2015 | \n\n | \n
Feed-in tariff for solar PV installations | \nApr 2014 | \n\n | \n
Renewable Energy and Energy Efficiency Development Plan 2011–2030 | \nFeb 2011 | \n\n | \n
Renewable Energy National Fund | \n2009 | \n\n \n | \n
Law 04-92 on the Diversification of Power Generation Costs (REFIT) | \n2004 | \n\n | \n
Law 04-90 on Renewable Energy Promotion in the Framework of Sustainable Development | \n2004 | \n\n \n \n | \n
Law 99-09 on the Management of Energy | \n1999 | \n\n | \n
According to the revised strategy, new ambitious program for the development of renewable energy 2015–2030 aims to reach a contribution of renewable energy sources in term of power capacity of 37% (22 GW) by 2030 with more than 4.5 GW to be realized before 2020. The share of renewable energy in electricity generation should thereby reach 27% (previously 20%) by 2030. These targets have been included in the nationally determined contribution, which Algeria has sent to the UNFCCC secretariat as a contribution to attain the Paris Agreement (Table 3).
\n\n | 1° step: 2015–2020 | \n2° step: 2021–2030 | \nTotal | \n
---|---|---|---|
Photovoltaic | \n3000 | \n10,575 | \n13,575 | \n
Wind | \n1010 | \n4000 | \n5010 | \n
CSP | \n- | \n2000 | \n2000 | \n
Cogeneration | \n150 | \n250 | \n400 | \n
Biomass | \n360 | \n640 | \n1000 | \n
Geothermal | \n5 | \n10 | \n15 | \n
Total | \n4525 | \n17,475 | \n22,000 | \n
Algerian renewable energy programme 2015–2030 (MW).
To make this, Algeria should be supported by CTCN (Climate Technology Centre and Network) intervention. The CTCN will help the photovoltaic market in Algeria with a specific project on the design and construction of a ground base’s 1 MW photovoltaic plant and with a project still in its implementation phase focused on the establishment of a laboratory for accreditation and quality control of photovoltaic modules [31, 32]. In this way, Algeria could achieve its renewable energy target, reinforce the national know-how, and build specific competence in the sector.
\nSince 2008, foreign investors have been restricted to a maximum stake of 49% in a company. This policy has, more probably, the reason because the foreign direct investment (FDI) flows to Algeria have diminished in recent years.
\nIn 2015, Algeria registered its first negative foreign trade balance since 1994, and despite falling revenues, Algeria—which has the largest defense budget in Africa—opted not to cut military spending.
\nIn 2016, Algeria launched a new operation of financing economic investments and major infrastructure projects called “National Bond Issue for Economic Growth,” raising $5.2 billion to finance its domestic debt market. Previously reluctant to borrow on international markets, the government obtained a $1 billion loan from the African Development Bank [33]. Through this instrument, the Algerian Ministry of Finance invited his nationals living abroad to subscribe to this national bond issue, open to public subscription since April 2016, and participate in the economic development of the country.
\nHowever, according to the United Nations Conference on Trade and Development (UNCTAD) [34], the foreign investments in Algeria fell slightly in 2016–2017, due to the strong dependence of Algerian economy by fossil fuels in which prices fell in 2017, but they should be recovered in the next years thanks to the reform on investment laws, proved by the heavy investments made by China and Turkey in this last years.
\nThe main obstacles to the boost of investments in the country are identified in the protectionism measures, as well as corruption, bureaucracy, a weak financial sector, and legal insecurity in terms of intellectual property rights.
\nAccording to IMF [35], fiscal risks in Algeria are multiple and interrelated due to the dominant role played by the state in economic activity through government programs as well as through commercial activities carried out by public institutions and state-owned enterprises.
\nOther sources of fiscal risk include volatile hydrocarbon revenues, natural disasters, and the financial situation of social safety net programs. According to some estimates, in 2016, economic losses linked to the country’s climate, which was not fully conducive to investment, were quantified at around 8.9% of GDP. This loss reflects, on the one hand, the government’s purchase of the debt of a public service company held vis-à-vis a bank that is also public and, on the other hand, the issue of bonds by the state-owned oil company to compensate for losses resulting from the sale of imported refined fuels on the domestic market at preferential prices [35].
\nHowever, Algeria is seeking more trade and foreign investment. For example, in April 2005, the hydrocarbons law was designed to encourage foreign investment in energy exploration, or in 2016 the “revised investment law” (Law 16-09) and the 2016 Finance Law aimed to replace most provisions of the current investment legislation. The Revised Investment Law of 2016 eased restrictions on transferring invested capital, dividends, and disposal proceeds out of the country.
\nThe main challenge of the new framework is to remove the obligation for foreign investors to generate a foreign exchange surplus for the benefit of Algeria over the lifetime of a given investment. In practice, before the new investment framework, foreign investors were constrained to repatriate dividends and profits from their activities in Algeria. Today, with the new reform, on condition of a corporate structure in which the foreign investors are co-owners of an Algerian company, they are free to repatriate the profits that they obtain from such an investment. The clear objective of this reform is, therefore, to make the country more attractive, thus stimulating and gathering more foreign investment.
\nIn addition, the Algerian government is working on a draft law that could also abolish the requirement to involve local partners in the participation of foreign contractors in public tenders; the draft law is expected to be drafted in later 2019. These are measures to remove the protectionist regime that has characterized Algeria up to now.
\nAlthough the investments in Algeria are complex, those in renewable energy are highly risky both in global level and in the Algerian context.
\nIn 2014, for the first time in history, the amount of new renewable generation capacity surpassed that of new fossil fuel-based systems on a global basis [36].
\nThe availability of technology is not in itself sufficient to accelerate a change in energy system to assure a clean energy transition; public policy and regulation, market reforms, private sector engagement, stranded asset risk management, and strong analytical tools and data remain important factors [2].
\nAs hydrocarbon revenues in MENA countries make up a significant portion of the government budget and contribute greatly to GDP, the fluctuation of oil price, the need to diversify revenues compared to oil and gas exports, and the need to assure energy for the country’s development should expose them to a deep economic and financial crisis.
\nGenerally, the four main factors to decide the investment in renewable energy sources are the following: (i) production, productivity and costs of production factors; (ii) demand, expected internal and external demand for solar components; (iii) risk and stability, real and perceived risks; and (iv) business support, specific support and enabling environment [23].
\nAccording to Watts [37], the perception of financial risk is particularly significant in renewable energy projects because they are often capital-intensive and are typically highly leveraged, with up to 70–80% of the project total being financed through debt, but nevertheless there are the possibility to manage the risks by means of risk mitigation and risk transfer. In this way, it is possible to overcome the political and regulatory risks, weather-related volume risk, and other risks.
\nThe difficulties of making an investment, in particular an investment in renewable sources, are becoming particularly acute in Algeria. In fact, focusing on renewable sources would allow the country, on the one hand, to have a cleaner, cheaper, and more sustainable energy system, be able to meet the challenges of a growing energy demand, and, on the other hand, be able to allocate more resources to exports.
\nHowever, investing in renewables, in a country with an economy so strongly linked to fossil fuels, is highly challenging.
\nAlthough the country can count on two major national competitors with over 20 years of experience in the field of energy, it is true that it is mainly linked to the exploration, development, and exploitation of renewable sources.
\nThe Algerian government has launched several projects to increase production from renewable sources, but precisely because of the investments and the change of pace that they require, they are still limited despite their strong potential.
\nLocal companies have difficulties in making high-calibre investments and, above all, lack the technical knowledge to do so.
\nThe objective of attracting foreign investments to the country is highly resisted by the strong presence of the state in the economy, only marginally encouraged by a large openness abroad.
\nHowever, it will be necessary to wait until the next few years before the first effects on the country’s economy might be felt through a large opening up to investment in low-carbon technologies and understand whether the path towards sustainable development has really been taken.
\nThe document is the first step of a working progress country report that will be carried out within the framework of WP 3.1 of the wider MeetMED project in which it is intended to analyze, also through specific interviews (step 2), the main barriers that domestic and international operators face to invest in a renewable energy sources and energy efficiency in Algeria.
\nIn this first step, we have collected the main information relating to the country, analyzing the context in which we find ourselves operating, with particular emphasis on the strong link between economy-state and fossil sources.
\nIn fact, the project foresees in a second step the ad hoc realization of special interviews with institutions, local companies and foreign companies, in order to identify the elements that most block the realization of such investments.
\nThe aim is to produce a country report that can suggest possible lines of action to the policy-maker to improve the confidence and attractiveness of the investments, given the economic convenience.
\nClassic smart home, internet of things, cloud computing and rule-based event processing, are the building blocks of our proposed advanced smart home integrated compound. Each component contributes its core attributes and technologies to the proposed composition. IoT contributes the internet connection and remote management of mobile appliances, incorporated with a variety of sensors. Sensors may be attached to home related appliances, such as air-conditioning, lights and other environmental devices. And so, it embeds computer intelligence into home devices to provide ways to measure home conditions and monitor home appliances’ functionality. Cloud computing provides scalable computing power, storage space and applications, for developing, maintaining, running home services, and accessing home devices anywhere at anytime. The rule-based event processing system provides the control and orchestration of the entire advanced smart home composition.
Combining technologies in order to generate a best of breed product, already appear in recent literature in various ways. Christos Stergioua et al. [1] merge cloud computing and IoT to show how the cloud computing technology improves the functionality of the IoT. Majid Al-Kuwari [2] focus on embedded IoT for using analyzed data to remotely execute commands of home appliances in a smart home. Trisha Datta et al. [3] propose a privacy-preserving library to embed traffic shaping in home appliances. Jian Mao et al. [4] enhance machine learning algorithms to play a role in the security in a smart home ecosystem. Faisal Saeed et al. [5] propose using sensors to sense and provide in real-time, fire detection with high accuracy.
In this chapter we explain the integration of classic smart home, IoT and cloud computing. Starting by analyzing the basics of smart home, IoT, cloud computing and event processing systems. We discuss their complementarity and synergy, detailing what is currently driving to their integration. We also discuss what is already available in terms of platforms, and projects implementing the smart home, cloud and IoT paradigm. From the connectivity perspective, the added IoT appliances and the cloud, are connected to the internet and in this context also to the home local area network. These connections complement the overall setup to a complete unified and interconnected composition with extended processing power, powerful 3rd party tools, comprehensive applications and an extensive storage space.
In the rest of this chapter we elaborate on each of the four components. In Section 1, we describe the classic smart home, in Section 2, we introduce the internet of things [IoT], in Section 3, we outline cloud computing and in Section 4, we present the event processing module. In Section 5, we describe the composition of an advanced smart home, incorporating these four components. In Section 6, we provide some practical information and relevant selection considerations, for building a practical advanced smart home implementation. In Section 7, we describe our experiment introducing three examples presenting the essence of our integrated proposal. Finally, we identify open issues and future directions in the future of advanced smart home components and applications.
Smart home is the residential extension of building automation and involves the control and automation of all its embedded technology. It defines a residence that has appliances, lighting, heating, air conditioning, TVs, computers, entertainment systems, big home appliances such as washers/dryers and refrigerators/freezers, security and camera systems capable of communicating with each other and being controlled remotely by a time schedule, phone, mobile or internet. These systems consist of switches and sensors connected to a central hub controlled by the home resident using wall-mounted terminal or mobile unit connected to internet cloud services.
Smart home provides, security, energy efficiency, low operating costs and convenience. Installation of smart products provide convenience and savings of time, money and energy. Such systems are adaptive and adjustable to meet the ongoing changing needs of the home residents. In most cases its infrastructure is flexible enough to integrate with a wide range of devices from different providers and standards.
The basic architecture enables measuring home conditions, process instrumented data, utilizing microcontroller-enabled sensors for measuring home conditions and actuators for monitoring home embedded devices.
The popularity and penetration of the smart home concept is growing in a good pace, as it became part of the modernization and reduction of cost trends. This is achieved by embedding the capability to maintain a centralized event log, execute machine learning processes to provide main cost elements, saving recommendations and other useful reports.
A typical smart home is equipped with a set of sensors for measuring home conditions, such as: temperature, humidity, light and proximity. Each sensor is dedicated to capture one or more measurement. Temperature and humidity may be measured by one sensor, other sensors calculate the light ratio for a given area and the distance from it to each object exposed to it. All sensors allow storing the data and visualizing it so that the user can view it anywhere and anytime. To do so, it includes a signal processer, a communication interface and a host on a cloud infrastructure.
Creates the cloud service for managing home appliances which will be hosted on a cloud infrastructure. The managing service allows the user, controlling the outputs of smart actuators associated with home appliances, such as such as lamps and fans. Smart actuators are devices, such as valves and switches, which perform actions such as turning things on or off or adjusting an operational system. Actuators provides a variety of functionalities, such as on/off valve service, positioning to percentage open, modulating to control changes on flow conditions, emergency shutdown (ESD). To activate an actuator, a digital write command is issued to the actuator.
Home access technologies are commonly used for public access doors. A common system uses a database with the identification attributes of authorized people. When a person is approaching the access control system, the person’s identification attributes are collected instantly and compared to the database. If it matches the database data, the access is allowed, otherwise, the access is denied. For a wide distributed institute, we may employ cloud services for centrally collecting persons’ data and processing it. Some use magnetic or proximity identification cards, other use face recognition systems, finger print and RFID.
In an example implementation, an RFID card and an RFID reader have been used. Every authorized person has an RFID card. The person scanned the card via RFID reader located near the door. The scanned ID has been sent via the internet to the cloud system. The system posted the ID to the controlling service which compares the scanned ID against the authorized IDs in the database.
To enable all of the above described activities and data management, the system is composed of the following components, as described in Figure 1.
Sensors to collect internal and external home data and measure home conditions. These sensors are connected to the home itself and to the attached-to-home devices. These sensors are not internet of things sensors, which are attached to home appliances. The sensors’ data is collected and continually transferred via the local network, to the smart home server.
Processors for performing local and integrated actions. It may also be connected to the cloud for applications requiring extended resources. The sensors’ data is then processed by the local server processes.
A collection of software components wrapped as APIs, allowing external applications execute it, given it follows the pre-defined parameters format. Such an API can process sensors data or manage necessary actions.
Actuators to provision and execute commands in the server or other control devices. It translates the required activity to the command syntax; the device can execute. During processing the received sensors’ data, the task checks if any rule became true. In such case the system may launch a command to the proper device processor.
Database to store the processed data collected from the sensors [and cloud services]. It will also be used for data analysis, data presentation and visualization. The processed data is saved in the attached database for future use.
Smart home paradigm with optional cloud connectivity.
The internet of things (IoT) paradigm refers to devices connected to the internet. Devices are objects such as sensors and actuators, equipped with a telecommunication interface, a processing unit, limited storage and software applications. It enables the integration of objects into the internet, establishing the interaction between people and devices among devices. The key technology of IoT includes radio frequency identification (RFID), sensor technology and intelligence technology. RFID is the foundation and networking core of the construction of IoT. Its processing and communication capabilities along with unique algorithms allows the integration of a variety of elements to operate as an integrated unit but at the same time allow easy addition and removal of components with minimum impact, making IoT robust but flexible to absorb changes in the environment and user preferences. To minimize bandwidth usage, it is using JSON, a lightweight version of XML, for inter components and external messaging.
Cloud computing is a shared pool of computing resources ready to provide a variety of computing services in different levels, from basic infrastructure to most sophisticated application services, easily allocated and released with minimal efforts or service provider interaction [6, 7]. In practice, it manages computing, storage, and communication resources that are shared by multiple users in a virtualized and isolated environment. Figure 2 depicts the overall cloud paradigm.
Cloud computing paradigm.
IoT and smart home can benefit from the wide resources and functionalities of cloud to compensate its limitation in storage, processing, communication, support in pick demand, backup and recovery. For example, cloud can support IoT service management and fulfillment and execute complementary applications using the data produced by it. Smart home can be condensed and focus just on the basic and critical functions and so minimize the local home resources and rely on the cloud capabilities and resources. Smart home and IoT will focus on data collection, basic processing, and transmission to the cloud for further processing. To cope with security challenges, cloud may be private for highly secured data and public for the rest.
IoT, smart home and cloud computing are not just a merge of technologies. But rather, a balance between local and central computing along with optimization of resources consumption. A computing task can be either executed on the IoT and smart home devices or outsourced to the cloud. Where to compute depends on the overhead tradeoffs, data availability, data dependency, amount of data transportation, communications dependency and security considerations. On the one hand, the triple computing model involving the cloud, IoT and smart home, should minimize the entire system cost, usually with more focus on reducing resource consumptions at home. On the other hand, an IoT and smart home computing service model, should improve IoT users to fulfill their demand when using cloud applications and address complex problems arising from the new IoT, smart home and cloud service model.
Some examples of healthcare services provided by cloud and IoT integration: properly managing information, sharing electronic healthcare records enable high-quality medical services, managing healthcare sensor data, makes mobile devices suited for health data delivery, security, privacy, and reliability, by enhancing medical data security and service availability and redundancy and assisted-living services in real-time, and cloud execution of multimedia-based health services.
Smart home and IoT are rich with sensors, which generate massive data flows in the form of messages or events. Processing this data is above the capacity of a human being’s capabilities [8, 9, 10]. Hence, event processing systems have been developed and used to respond faster to classified events. In this section, we focus on rule management systems which can sense and evaluate events to respond to changes in values or interrupts. The user can define event-triggered rule and to control the proper delivery of services. A rule is composed of event conditions, event pattern and correlation-related information which can be combined for modeling complex situations. It was implemented in a typical smart home and proved its suitability for a service-oriented system.
The system can process large amounts of events, execute functions to monitor, navigate and optimize processes in real-time. It discovers and analyzes anomalies or exceptions and creates reactive/proactive responses, such as warnings and preventing damage actions. Situations are modeled by a user-friendly modeling interface for event-triggered rules. When required, it breaks them down into simple, understandable elements. The proposed model can be seamlessly integrated into the distributed and service-oriented event processing platform.
The evaluation process is triggered by events delivering the most recent state and information from the relevant environment. The outcome is a decision graph representing the rule. It can break down complex situations to simple conditions, and combine them with each other, composing complex conditions. The output is a response event raised when a rule fires. The fired events may be used as input for other rules for further evaluation. Event patterns are discovered when multiple events occur and match a pre-defined pattern. Due to the graphical model and modular approach for constructing rules, rules can be easily adapted to domain changes. New event conditions or event patterns can be added or removed from the rule model. Rules are executed by event services, which supply the rule engine with events and process the evaluation result. To ensure the availability of suitable processing resources, the system can run in a distributed mode, on multiple machines and facilitate the integration with external systems, as well. The definition of relationships and dependencies among events that are relevant for the rule processing, are performed using sequence sets, generated by the rule engine. The rule engine constructs sequences of events relevant to a specific rule condition to allow associating events by their context data. Rules automatically perform actions in response when stated conditions hold. Actions generate response events, which trigger response activities. Event patterns can match temporal event sequences, allowing the description of home situations where the occurrences of events are relevant. For example, when the door is kept open too long.
The following challenges are known with this model: structure for the processed events and data, configuration of services and adapters for processing steps, including their input and output parameters, interfaces to external systems for sensing data and for responding by executing transactions, structure for the processed events and data, data transformations, data analysis and persistence. It allows to model which events should be processed by the rule service and how the response events should be forwarded to other event services. The process is simple: data is collected and received from adapters which forward events to event services that consume them. Initially the events are enriched to prepare the event data for the rule processing. For example, the response events are sent to a service for sending notifications to a call agent, or to services which transmit event delay notifications and event updates back to the event management system.
Event processing is concerned with real-time capturing and managing pre-defined events. It starts from managing the receptors of events right from the event occurrence, even identification, data collection, process association and activation of the response action. To allow rapid and flexible event handling, an event processing language is used, which allows fast configuration of the resources required to handle the expected sequence of activities per event type. It is composed of two modules, ESP and CEP. ESP efficiently handles the event, analyzes it and selects the appropriate occurrence. CEP handles aggregated events. Event languages describe complex event-types applied over the event log.
In some cases, rules relate to discrepancies in a sequence of events in a workflow. In such cases, it is mandatory to precisely understand the workflow and its associated events. To overcome this, we propose a reverse engineering process to automatically rediscover the workflows from the events log collected over time, assuming these events are ordered, and each event refers to one task being executed for a single case. The rediscovering process can be used to validate workflow sequences by measuring the discrepancies between prescriptive models and actual process executions. The rediscovery process consists of the following three steps: (1) construction of the dependency/frequency table. (2) Induction of dependency/frequency graphs. (3) Generating WF-nets from D/F-graphs.
In this section, we focus on the integration of smart home, IoT and cloud computing to define a new computing paradigm. We can find in the literature section [11, 12, 13, 14] surveys and research work on smart home, IoT and cloud computing separately, emphasizing their unique properties, features, technologies, and drawbacks. However, our approach is the opposite. We are looking at the synergy among these three concepts and searching for ways to integrate them into a new comprehensive paradigm, utilizing its common underlying concepts as well as its unique attributes, to allow the execution of new processes, which could not be processed otherwise.
Figure 3 depicts the advanced smart-home main components and their inter-connectivity. On the left block, the smart home environment, we can see the typical devices connected to a local area network [LAN]. This enables the communication among the devices and outside of it. Connected to the LAN is a server and its database. The server controls the devices, logs its activities, provides reports, answers queries and executes the appropriate commands. For more comprehensive or common tasks, the smart home server, transfers data to the cloud and remotely activate tasks in it using APIs, application programming interface processes. In addition, IoT home appliances are connected to the internet and to the LAN, and so expands smart home to include IoT. The connection to the internet allows the end user, resident, to communicate with the smart home to get current information and remotely activate tasks.
Advanced smart home—integrating smart home, IoT and cloud computing.
To demonstrate the benefits of the advanced smart home, we use RSA, a robust asymmetric cryptography algorithm, which generates a public and private key and encrypts/decrypts messages. Using the public key, everyone can encrypt a message, but only these who hold the private key can decrypt the sent message. Generating the keys and encrypting/decrypting messages, involves extensive calculations, which require considerable memory space and processing power. Therefore, it is usually processed on powerful computers built to cope with the required resources. However, due to its limited resources, running RSA in an IoT device is almost impossible, and so, it opens a security gap in the Internet, where attackers may easily utilize. To cope with it, we combine the power of the local smart home processors to compute some RSA calculations and forward more complicated computing tasks to be processed in the cloud. The results will then be transferred back to the IoT sensor to be compiled and assembled together, to generate the RSA encryption/decryption code, and so close the mentioned IoT security gap. This example demonstrates the data flow among the advanced smart home components. Where, each component performs its own stack of operations to generate its unique output. However, in case of complicated and long tasks it will split the task to sub tasks to be executed by more powerful components. Referring to the RSA example, the IoT device initiates the need to generate an encryption key and so, sends a request message to the RSA application, running in the smart home computer. The smart home computer then asks the “prime numbers generation” application running on cloud, to provide
To summarize, the RSA scenarios depict the utilization of the strength of the cloud computing power, the smart home secured computing capabilities and at the end the limited power of the IoT device. It proves that without this automatic cooperation, RSA would not be able to be executed at the IoT level.
A more practical example is where several detached appliances, such as an oven, a slow cooker and a pan on the gas stove top, are active in fulfilling the resident request. The resident is getting an urgent phone call and leaves home immediately, without shutting off the active appliances. In case the relevant IoTs have been tuned to automatically shut down based on a predefined rule, it will be taken care at the IoT level. Otherwise, the smart home realizes the resident has left home [the home door has been opened and then locked, the garage has been opened, the resident’s car left, the main gate was opened and then closed, no one was at home] and will shut down all active devices classified as risk in case of absence. It will send an appropriate message to the mailing list defined for such an occasion.
Smart home has three components: hardware, software and communication protocols. It has a wide variety of applications for the digital consumer. Some of the areas of home automation led IoT enabled connectivity, such as: lighting control, gardening, safety and security, air quality, water-quality monitoring, voice assistants, switches, locks, energy and water meters.
Advanced smart home components include: IoT sensors, gateways, protocols, firmware, cloud computing, databases, middleware and gateways. IoT cloud can be divided into a platform-as-a-service (PaaS) and infrastructure-as-a-service (IaaS). Figure 4 demonstrates the main components of the proposed advanced smart home and the connection and data flow among its components.
Advanced smart home composition.
The smart home application updates the home database in the cloud to allow remote people access it and get the latest status of the home. A typical IoT platform contains: device security and authentication, message brokers and message queuing, device administration, protocols, data collection, visualization, analysis capabilities, integration with other web services, scalability, APIs for real-time information flow and open source libraries. IoT sensors for home automation are known by their sensing capabilities, such as: temperature, lux, water level, air composition, surveillance video cameras, voice/sound, pressure, humidity, accelerometers, infrared, vibrations and ultrasonic. Some of the most commonly used smart home sensors are temperature sensors, most are digital sensors, but some are analog and can be extremely accurate. Lux sensors measure the luminosity. Water level ultrasonic sensors.
Float level sensors offer a more precise measurement capability to IoT developers. Air composition sensors are used by developers to measure specific components in the air: CO monitoring, hydrogen gas levels measuring, nitrogen oxide measure, hazardous gas levels. Most of them have a heating time, which means that it requires a certain time before presenting accurate values. It relies on detecting gas components on a surface only after the surface is heated enough, values start to show up. Video cameras for surveillance and analytics. A range of cameras, with a high-speed connection. Using Raspberry Pi processor is recommended as its camera module is very efficient due to its flex connector, connected directly to the board.
Sound detectors are widely used for monitoring purposes, detecting sounds and acting accordingly. Some can even detect ultra-low levels of noise, and fine tune among various noise levels.
Humidity sensors sense the humidity levels in the air for smart homes. Its accuracy and precision depend on the sensor design and placement. Certain sensors like the DHT22, built for rapid prototyping, will always perform poorly when compared to high-quality sensors like HIH6100. For open spaces, the distribution around the sensor is expected to be uniform requiring fewer corrective actions for the right calibration.
Smart home communication protocols: bluetooth, Wi-Fi, or GSM. Bluetooth smart or low energy wireless protocols with mesh capabilities and data encryption algorithms. Zigbee is mesh networked, low power radio frequency-based protocol for IoT. X10 protocol that utilizes powerline wiring for signaling and control. Insteon, wireless and wireline communication. Z-wave specializes in secured home automation. UPB, uses existing power lines. Thread, a royalty-free protocol for smart home automation. ANT, an ultra-low-power protocol for building low-powered sensors with a mesh distribution capability. The preferred protocols are bluetooth low energy, Z-wave, Zigbee, and thread. Considerations for incorporating a gateway may include: cloud connectivity, supported protocols, customization complexity and prototyping support. Home control is composed of the following: state machine, event bus, service log and timer.
Modularity: enables the bundle concept, runtime dynamics, software components can be managed at runtime, service orientation, manage dependencies among bundles, life cycle layer: controls the life cycle of the bundles, service layers: defines a dynamic model of communication between various modules, actual services: this is the application layer. Security layer: optional, leverages Java 2 security architecture and manages permissions from different modules.
OpenHAB is a framework, combining home automation and IoT gateway for smart homes. Its features: rules engine, logging mechanism and UI abstraction. Automation rules that focus on time, mood, or ambiance, easy configuration, common supported hardware:
Domoticz architecture: very few people know about the architecture of Domoticz, making it extremely difficult to build applications on it without taking unnecessary risks in building the product itself. For example, the entire design of general architecture feels a little weird when you look at the concept of a sensor to control to an actuator. Building advanced applications with Domoticz can be done using OO based languages.
Deployment of blockchain into home networks can easily be done with Raspberry Pi. A blockchain secured layer between devices and gateways can be implemented without a massive revamp of the existing code base. Blockchain is a technology that will play a role in the future to reassure them with revolutionary and new business models like dynamic renting for Airbnb.
We can find in the literature and practical reports, many implementations of various integrations among part of the main three building blocks, smart home, IoT and cloud computing. For example, refer to [12–14]. In this section we outline three implementations, which clearly demonstrate the need and the benefits of interconnecting or integrating all three components, as illustrated in Figure 5. Each component is numbered, 1–6. In the left side, we describe for each implementation, the sequence of messages/commands among components, from left to right and from bottom up. Take for example the third implementation, a control task constantly runing at the home server (2) discovers the fact that all residents left home and automatically, initiates actuators to shut down all IoT appliances (3), then it issues messages to the relevant users/residents, updating them about the situation and the applied actions it took (6).
Advanced smart home implementations chart.
The use of (i) in the implementations explanation, corresponds to the circled numbers in Figure 5.
First step is deploying water sensors under every reasonable potential leak source and an automated master water valve sensor for the whole house, which now means the house is considered as an IoT.
In case the water sensor detects a leak of water (3), it sends an event to the hub (2), which triggers the “turn valve off” application. The home control application then sends a “turn off” command to all IoT (3) appliances defined as sensitive to water stopping and then sends the “turn off” command to the main water valve (1). An update message is sent via the messaging system to these appearing in the notification list (6). This setup helps defending against scenarios where the source of the water is from the house plumbing. The underlying configuration assumes an integration via messages and commands between the smart home and the IoT control system. It demonstrates the dependency and the resulting benefits of combining smart home and IoT.
Most houses already have the typical collection of smoke detectors (1), but there is no bridge to send data from the sensor to a smart home hub. Connecting these sensors to a smart home app (2), enables a comprehensive smoke detection system. It is further expanded to notify the elevator sensor to block the use of it due to fire condition (1), and so, it is even further expanded to any IoT sensor (3), who may be activated due to the detected smoke alert.
In [5] they designed a wireless sensor network for early detection of house fires. They simulated a fire in a smart home using the fire dynamics simulator and a language program. The simulation results showed that the system detects fire early.
Consider the scenario where you leave home while some of the appliances are still on. In case your absence is long enough, some of the appliances may over heat and are about to blowout. To avoid such situations, we connect all IoT appliances’ sensors to the home application (2), so that when all leave home it will automatically adjust all the appliances’ sensors accordingly (3), to avoid damages. Note that the indication of an empty home is generated by the Smart Home application, while the “on” indication of the appliance, is generated by IoT. Hence, this scenario is possible due to the integration between smart home and IoT systems.
In this chapter we described the integration of three loosely coupled components, smart home, Iot, and cloud computing. To orchestrate and timely manage the vast data flow in an efficient and balanced way, utilizing the strengths of each component we propose a centralized real time event processing application.
We describe the advantages and benefits of each standalone component and its possible complements, which may be achieved by integrating it with the other components providing new benefits raised from the whole compound system. Since these components are still at its development stage, the integration among them may change and provide a robust paradigm that generates a new generation of infrastructure and applications.
As we follow-up on the progress of each component and its corresponding impact on the integrated compound, we will constantly consider additional components to be added, resulting with new service models and applications.
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\n\nThe first step in obtaining funds for your Open Access publication begins with your institution or library. IntechOpen’s publishing standards align with most institutional funding programs. Our advice is to petition your institution for help in financing your Open Access publication.
\n\nHowever, as Open Access becomes a more commonly used publishing option for the dissemination of scientific and scholarly content, in addition to institutions, there are a growing number of funders who allow the use of grants for covering OA publication costs, or have established separate funds for the same purpose.
\n\nPlease consult our Open Access Funding page to explore some of these funding opportunities and learn more about how you could finance your IntechOpen publication. Keep in mind that this list is not definitive, and while we are constantly updating and informing our Authors of new funding opportunities, we recommend that you always check with your institution first.
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\n\nOur mission is to support Authors in publishing their research and making an impact within the scientific community. Currently, 14% of Authors receive full waivers and 6% receive partial waivers.
\n\nWhile providing support and advice to all our international Authors, waiver priority will be given to those Authors who reside in countries that are classified by the World Bank as low-income economies. In this way, we can help ensure that the scientific work being carried out can make an impact within the worldwide scientific community, no matter where an Author might live.
\n\nThe application process is open after your submitted manuscript has been accepted for publication. To apply, please fill out a Waiver Request Form and send it to your Author Service Manager. If you have an official letter from your university or institution showing that funds for your OA publication are unavailable, please attach that as well. The Waiver Request will normally be addressed within one week from the application date. All chapters that receive waivers or partial waivers will be designated as such online.
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