An integrated systems model for energy services in rural developing communities

This paper develops a systems-based integrated model for investigating the impacts of various energy technologies as applied to meet specific energy needs in a rural developing village. The model enables the designer to examine of a variety of energy technology components subject to local and global constraints and reports the outcomes in terms of multiple objectives including energy consumption, climate effects, health impacts, cost analyses, and social considerations. It enables accounting for important application factors such as usability, multi-functionality, stacking and incomplete displacement of traditional methods, opportunity costs, effective discount rates, and impact to quality of life. Use of the model to analyze the baseline case of a well-characterized village in Mali revealed the conflicts between social, economic, and environmental objectives that often exist between stakeholders, highlighting the importance of attention to consumer preference. Analysis based on disaggregated energy needs illustrated that often the relative impacts between energy strategies are not immediately evident, suggesting that holistic systems-level analyses are critical before selecting a specific strategy to supply improved energy services to households in a community.

[1]  Kenneth M. Bryden,et al.  A Case Study of the Implementation and Maintenance of a Fee for Service Lighting System for a Rural Village in Sub Saharan Africa , 2012, DAC 2012.

[2]  Charlie M. Shackleton,et al.  Changing energy profiles and consumption patterns following electrification in five rural villages, South Africa , 2006 .

[3]  Tirian Mink Methods for generating market intelligence for improved cookstove dissemination: a case study in Quetzaltenango, Guatemala , 2010 .

[4]  Patricia Jaramillo,et al.  Energy supply for sustainable rural livelihoods. A multi-criteria decision-support system , 2007 .

[5]  Lirije Hyseni,et al.  The Role of Mixed Methods in Improved Cookstove Research , 2015, Journal of health communication.

[6]  Amie Gaye,et al.  Access to Energy and Human Development , 2007 .

[7]  J. Roy The rebound effect : some empirical evidence from India , 2000 .

[8]  Nicholas L. Lam,et al.  Modeling indoor air pollution from cookstove emissions in developing countries using a Monte Carlo single-box model , 2011 .

[9]  P. Berkhout,et al.  Defining the rebound effect , 2000 .

[10]  W. Hao,et al.  Trace gas emissions from the production and use of domestic biofuels in Zambia measured by open-path Fourier transform infrared spectroscopy , 2003 .

[11]  Subhrendu K. Pattanayak,et al.  Benefits and Costs of Improved Cookstoves: Assessing the Implications of Variability in Health, Forest and Climate Impacts , 2012, PloS one.

[12]  Ramchandra Bhandari,et al.  Electrification using solar photovoltaic systems in Nepal , 2011 .

[13]  Vin Spoann,et al.  Fuelwood consumption patterns in Chumriey Mountain, Kampong Chhnang Province, Cambodia. , 2012 .

[14]  M. Macauley,et al.  Consumption of fuelwood and other household cooking fuels in Indian cities , 1990 .

[15]  Milind Kandlikar,et al.  Health and climate benefits of cookstove replacement options , 2011 .

[16]  Tami C. Bond,et al.  Laboratory and field investigations of particulate and carbon monoxide emissions from traditional and improved cookstoves , 2009 .

[17]  Ken R. Smith Health, energy, and greenhouse-gas impacts of biomass combustion in household stoves , 1994 .

[18]  S. Pachauri,et al.  The household energy transition in India and China , 2008 .

[19]  Alix Clark,et al.  The economics of energy efficiency for the poor—a South African case study , 2002 .

[20]  R. Pachauri Third World energy policies The urban-rural divide , 1983 .

[21]  Alan C. Brent,et al.  Systems analyses and the sustainable transfer of renewable energy technologies: A focus on remote areas of Africa , 2009 .

[22]  Daniel M. Kammen,et al.  From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model , 2000 .

[23]  Bundit Limmeechokchai,et al.  Sustainable energy development strategies in the rural Thailand: The case of the improved cooking stove and the small biogas digester , 2007 .

[24]  F. Urban,et al.  Modelling energy systems for developing countries , 2007 .

[25]  M. Andreae,et al.  Domestic Combustion of Biomass Fuels in Developing Countries: A Major Source of Atmospheric Pollutants , 2003 .

[26]  Shuxiao Wang,et al.  Upgrading to cleaner household stoves and reducing chronic obstructive pulmonary disease among women in rural China — A cost-benefit analysis , 2013 .

[27]  C. Venkataraman,et al.  Emission factors of carbon monoxide and size-resolved aerosols from biofuel combustion. , 2001, Environmental science & technology.

[28]  Ellen Hughes-Cromwick Nairobi households and their energy use: An economic analysis of consumption patterns , 1985 .

[29]  Maurizio Cellura,et al.  Decision making in energy planning: the ELECTRE multicriteria analysis approach compared to a FUZZY-SETS methodology , 1998 .

[30]  Shonali Pachauri,et al.  Fuel choices in urban Indian households , 2005, Environment and Development Economics.

[31]  Fabrizio Tediosi,et al.  Evaluation of the costs and benefits of interventions to reduce indoor air pollution , 2007 .

[32]  J. Lacaux,et al.  Domestic biomass combustion and associated atmospheric emissions in West Africa , 1998 .

[33]  Michael Greenstone,et al.  Indoor air pollution, health and economic well-being , 2008 .

[34]  Steven N. Chillrud,et al.  Health and Household Air Pollution from Solid Fuel Use: The Need for Improved Exposure Assessment , 2013, Environmental health perspectives.

[35]  Dean Still,et al.  Test Kitchen studies of indoor air pollution from biomass cookstoves , 2013 .

[36]  An Econometric Analysis of Fuelwood Consumption in Sub-Saharan Africa , 1998 .

[37]  S. K. Akagi,et al.  Emission factors for open and domestic biomass burning for use in atmospheric models , 2010 .

[38]  Kristin Aunan,et al.  Health benefits from reducing indoor air pollution from household solid fuel use in China--three abatement scenarios. , 2007, Environment international.

[39]  P. Balachandra,et al.  Universalization of access to modern energy services in Indian households—Economic and policy analysis , 2009 .

[40]  Gary J. Wingenbach,et al.  Rethinking improved cookstove diffusion programs: A case study of social perceptions and cooking choices in rural Guatemala , 2014 .

[41]  Christian L'Orange The development of numerical tools for characterizing and quantifying biomass cookstove impact , 2013 .

[42]  Subhrendu K. Pattanayak,et al.  Who Adopts Improved Fuels and Cookstoves? A Systematic Review , 2012, Environmental health perspectives.

[43]  Tami C. Bond,et al.  A laboratory comparison of the global warming impact of five major types of biomass cooking stoves , 2008 .

[44]  D. Streets,et al.  A technology‐based global inventory of black and organic carbon emissions from combustion , 2004 .

[45]  O. Masera,et al.  Beyond fuelwood savings: Valuing the economic benefits of introducing improved biomass cookstoves in the Purépecha region of Mexico , 2010 .

[46]  J. Byrne,et al.  The economics of sustainable energy for rural development: A study of renewable energy in rural China , 1998 .

[47]  Keywan Riahi,et al.  Determinants of Household Energy Consumption in India , 2010 .

[48]  Nathan Gregory Johnson,et al.  Village energy system dynamics of an isolated rural West African village , 2012 .

[49]  R. Heltberg,et al.  Factors determining household fuel choice in Guatemala , 2003, Environment and Development Economics.

[50]  E. Georgopoulou,et al.  A multicriteria decision aid approach for energy planning problems: The case of renewable energy option , 1997 .

[51]  Rita Paleta,et al.  Remote Autonomous Energy Systems Project: Towards sustainability in developing countries , 2012 .

[52]  B. Armstrong,et al.  Public health benefits of strategies to reduce greenhouse-gas emissions: household energy , 2009, The Lancet.

[53]  Toshihiko Nakata,et al.  Analysis of the energy access improvement and its socio-economic impacts in rural areas of developing countries , 2007 .

[54]  G A Leach Residential Energy in the Third World , 1988 .

[55]  Daniel M Kammen,et al.  Greenhouse gas implications of household energy technology in Kenya. , 2003, Environmental science & technology.

[56]  Nathan G. Johnson,et al.  Techno-Economic Design of Off-Grid Domestic Lighting Solutions Using HOMER , 2013, DAC 2013.

[57]  R. A. Rasmussen,et al.  Greenhouse gases from biomass and fossil fuel stoves in developing countries: A Manila pilot study , 1993 .

[58]  Patricia Jaramillo,et al.  A multicriteria approach to sustainable energy supply for the rural poor , 2012, Eur. J. Oper. Res..

[59]  P. Abdul Salam,et al.  Emissions from biomass energy use in some selected Asian countries , 2000 .

[60]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[61]  Arne Jacobson,et al.  From carbon to light: a new framework for estimating greenhouse gas emissions reductions from replacing fuel-based lighting with LED systems , 2011 .

[62]  L. S. Ganesh,et al.  Energy alternatives for lighting in households: An evaluation using an integrated goal programming-AHP model , 1995 .

[63]  Nathan G. Johnson,et al.  Energy supply and use in a rural West African village , 2012 .

[64]  Nordica MacCarty,et al.  Fuel use and emissions performance of fifty cooking stoves in the laboratory and related benchmarks of performance , 2010 .

[65]  B. DeAngelo,et al.  Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .

[66]  Diego Silva,et al.  Multi-objective assessment of rural electrification in remote areas with poverty considerations , 2009 .

[67]  A. M. Jinturkar,et al.  A fuzzy mixed integer goal programming approach for cooking and heating energy planning in rural India , 2011, Expert Syst. Appl..

[68]  Demand for energy in rural and urban centres of Ethiopia: An econometric analysis , 1991 .

[69]  C. Bond,et al.  Estimation of elasticities for domestic energy demand in Mozambique , 2012 .

[70]  G Habib,et al.  Residential Biofuels in South Asia: Carbonaceous Aerosol Emissions and Climate Impacts , 2005, Science.

[71]  Sydney Rosen,et al.  Understanding household demand for indoor air pollution control in developing countries. , 2002, Social science & medicine.

[72]  J. D. Khazzoom,et al.  Economic Implications of Mandated Efficiency in Standards for Household Appliances , 1980 .

[73]  J. Byrne,et al.  Evaluating the potential of small-scale renewable energy options to meet rural livelihoods needs: A GIS- and lifecycle cost-based assessment of Western China's options , 2007 .

[74]  L. Molina,et al.  Trace gas and particle emissions from domestic and industrial biofuel use and garbage burning in central Mexico , 2009 .

[75]  Chandra Venkataraman,et al.  Global atmospheric impacts of residential fuels , 2004 .

[76]  S. Mustonen Rural energy survey and scenario analysis of village energy consumption: A case study in Lao People’s Democratic Republic , 2010 .

[77]  Mirco Gaul,et al.  A comparative study of small-scale rural energy service pathways for lighting, cooking and mechanical power , 2013 .

[78]  Eiman O. Zein-Elabdin Improved stoves in Sub-Saharan Africa: the case of the Sudan , 1997 .

[79]  R. Heltberg,et al.  Fuel switching: evidence from eight developing countries , 2004 .

[80]  Elisa Puzzolo,et al.  Factors influencing the large-scale uptake by households of cleaner and more efficient household energy technologies , 2013 .

[81]  Rufus Edwards,et al.  In-field greenhouse gas emissions from cookstoves in rural Mexican households , 2008 .

[82]  Nathan G. Johnson,et al.  Field-based safety guidelines for solid fuel household cookstoves in developing countries , 2015 .

[83]  P. Sadavarte,et al.  Household light makes global heat: high black carbon emissions from kerosene wick lamps. , 2012, Environmental science & technology.

[84]  René M.J. Benders,et al.  Modeling Energy and Development: an Evaluation of Models and Concepts , 2008 .

[85]  Heracles Polatidis,et al.  Local Renewable Energy Planning: A Participatory Multi-Criteria Approach , 2004 .

[86]  Kirk R. Smith,et al.  GREENHOUSE IMPLICATIONS OF HOUSEHOLD STOVES: An Analysis for India , 2000 .

[87]  P. Balachandra,et al.  Bioenergy technologies for carbon abatement , 2006 .

[88]  Kirk R. Smith,et al.  Pollutant emissions and energy efficiency under controlled conditions for household biomass cookstoves and implications for metrics useful in setting international test standards. , 2012, Environmental science & technology.

[89]  L. S. Ganesh,et al.  A multi-objective analysis of cooking-energy alternatives , 1994 .

[90]  C. Dufournaud,et al.  A Partial Equilibrium Analysis of the Impact of Introducing More-Efficient Wood-Burning Stoves into Households in the Sahelian Region , 1994 .

[91]  M. Diesendorf,et al.  Model for empowering rural poor through renewable energy technologies in Bangladesh , 2001 .

[92]  Nathan G. Johnson,et al.  Establishing Consumer Need and Preference for Design of Village Cooking Stoves , 2013, DAC 2013.

[93]  Mark Howells,et al.  A model of household energy services in a low-income rural African village , 2004 .

[94]  Michael J Tierney,et al.  Comparison of five exergoenvironmental methods applied to candidate energy systems for rural village , 2011 .

[95]  M. Macauley,et al.  Fuelwood Use in Urban Areas: A Case Study of Raipur, India , 1989 .