A comprehensive multi-criteria model to rank electric energy production technologies

Stein, Eric W.

doi:10.1016/j.rser.2013.02.001

Cited by 218 publications

(112 citation statements)

References 37 publications

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“…have applied various multi attribute decision making (MADM) techniques [6]. A model to rank various renewable and non-renewable electricity production technologies was proposed by Stein by utilizing the analytic hierarchy process (AHP) based on four comprehensive criteria: financial, technical, environmental and socio-economic-political [7]. In order to evaluate the energy alternatives and create a roadmap of energy strategies for Turkey, Erdogan et al [8] proposed a hybrid MCDM methodology that included AHP and TOPSIS based on type-2 fuzzy sets.…”

Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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Considering the geographical location and climatic conditions of Iran, solar energy can provide a considerable portion of the energy demand for the country. This study develops a two-step framework. In the first step, the map of unsuitable regions is extracted based on the defined constraints. In the next step, in order to identify the suitability of different regions, 11 defined criteria, including solar radiation, average annual temperatures, distance from power transmission lines, distance from major roads, distance from residential area, elevation, slope, land use, average annual cloudy days, average annual humidity and average annual dusty days, are identified. The relative weights of defined criteria and sub-criteria are also determined applying fuzzy analytical hierarchy process (FAHP) technique. Next, by overlaying these criteria layers, the final map of prioritization of different regions of Iran for exploiting solar photovoltaic (PV) plants is developed. Based on Iran's political divisions, investigation and analysis of the results have been presented for a total of 1057 districts of the country, where each district stands in one of the five defined classes of excellent, good, fair, low, and poor level. The obtained data indicate that 14.7% (237,920 km 2 ), 17.2% (278,270 km 2 ), 19.2% (311,767 km 2 ), 11.3% (183,057 km 2 ), 1.8% (30,549 km 2 ) and 35.8% (580,264 km 2 ) of Iran's area are positioned as excellent, good, fair, low, poor and unsuitable areas, respectively. Moreover, Kerman, Yazd, Fars, Sisitan and Baluchestan, Southern Khorasan and Isfahan are included in the regions as the most excellent suitable provinces for exploiting solar PV plants.

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Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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“…Again, if results are consistent, the attractiveness can be calculated. A sensitivity analysis can be conducted to reduce uncertainty (Stein, 2013). As this method also uses pairwise comparison, even though on a ratio scale, requirement 3 is difficult to accomplish.…”

Section: ® Measuring Attractiveness By the Categorical-based Evaluatimentioning

confidence: 99%

A mining perspective on the potential of renewable electricity sources for operations in South Africa: Part 2 - A multi-criteria decision assessment

Votteler

Brent

2017

J. South. Afr. Inst. Min. Metall.

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Recent developments in the macroeconomic environment necessitate an investigation of the internal structure of mining corporations to evaluate possible alternative electricitygenerating sources (Roehrl and Riahi, 2000). To be able to combine current knowledge of macroeconomic factors and the internal structure of mining corporations, the research process is presented in two papers. The first paper (Votteler and Brent, 2016) investigated the internal structure and argued that a strategic tool should be used to evaluate electricity sources from the perspective of mining corporations. The multi-criteria decision analysis (MCDA) approach was selected as the most appropriate strategic tool. Based on a literature review of previous similar MCDA approaches in energy planning, it was concluded that no adaptation of MCDA methods could be found from a corporate, mining, or South African perspective. Finally, the paper investigated the internal evaluation structure in collaboration with mining corporations, by identifying the criteria they use to evaluate electricity sources.In this second paper we set out to identify the best MCDA method to investigate a potential fit for renewable energy sources at mining operations. We then implement the selected MCDA method. Previous macroeconomic research identified non-gridconnected solar PV, onshore wind, and geothermal power in hybrid versions along with the current on-site diesel generators and grid connection to Eskom as the most lucrative. The choice of these hybrid versions is based on the constant electricity demand of mining operations and the intermittency of the renewables. The business model identified was self-generation via own investment (Votteler and Brent, 2016). The first paper describes the evaluation criteria used by mining corporations to determine this choice. All further information for implementing the MAVT method was gathered in cooperation with mining corporations and renewable and conventional energy companies in order to use real-time data.The purpose of this paper is to analyse and compare the strengths and weaknesses of these potential electricity sources, according to a possible fit to the specific needs of mining corporations and from their perspective. To optimize the learning process for mining corporations in order to equip them with an understanding of renewable energy technologies and for energy companies to learn A mining perspective on the potential of renewable electricity sources for operations in South Africa: Multi-criteria decision analysis, multi-attribute value theory, renewable electrical energy.

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“…A review of WtE technologies is performed to gather data and determine suitable evaluation criteria for both India and the UK. The criteria considered encompass a range of financial, technological, environmental and economic factors, and are comparable to those used in similar technology evaluation studies (Hokkanen and Salminen, 1997;Aravossis, et al, 2001;Nixon, et al, 2013b;Stein, 2013;and Ahmad and Tahar, 2014).…”

Section: Methodsmentioning

confidence: 99%

A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK

2015

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Energy recovery from municipal solid waste plays a key role in sustainable waste management and energy security. However, there are numerous technologies that vary in suitability for different economic and social climates. This study sets out to develop and apply a multi-criteria decision making methodology that can be used to evaluate the trade-offs between the benefits, opportunities, costs and risks of alternative energy from waste technologies in both developed and developing countries. The technologies considered are mass burn incineration, refuse derived fuel incineration, gasification, anaerobic digestion and landfill gas recovery. By incorporating qualitative and quantitative assessments, a preference ranking of the alternative technologies is produced. The effect of variations in decision criteria weightings are analysed in a sensitivity analysis. The methodology is applied principally to compare and assess energy recovery from waste options in the UK and India. These two countries have been selected as they could both benefit from further development of their waste-to-energy strategies, but have different technical and socio-economic challenges to consider. It is concluded that gasification is the preferred technology for the UK, whereas anaerobic digestion is the preferred technology for India. We believe that the presented methodology will be of particular value for waste-to-energy decision-makers in both developed and developing countries.

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A comprehensive multi-criteria model to rank electric energy production technologies

Cited by 218 publications

References 37 publications

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

A mining perspective on the potential of renewable electricity sources for operations in South Africa: Part 2 - A multi-criteria decision assessment

A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK

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