https://minerva-access.unimelb.edu.au/bitstream/handle/11343/192648/Ho - The state-of-the-art integrations and applications of the analytic hierarchy process.pdf

The state-of-the-art integrations and applications of the analytic hierarchy process

Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method

A review of life-cycle approaches coupled with data envelopment analysis within multi-criteria decision analysis for sustainability assessment of energy systems

The improper disposal of agriculture residues (ARs) (such as open burning of straw) in China leads to waste of energy potential and atmospheric environmental problems. Converting ARs to energy is of importance for regional energy and environmental sustainability. In order to help decision-makers select optimal technologies among multiple alternatives and promote the development of ARs-to-energy industries, this study conducts integrated assessment and prioritization of seven bioenergy technologies (BETs). A criteria system consisting of four aspects (environmental, technological, economic and social aspects, in total 15 criteria) is constructed. Life cycle environmental and techno-economic assessments are conducted within the boundary ranging from ARs collection and transportation, energy conversion to final use of bioenergy products. Combined with the results of the life cycle assessments and the advices from two groups of experts, the fuzzy Analytic Hierarchy Process (AHP) is adopted to determine the weights of the criteria and quantify the performances of the BETs. Based on the results of the fuzzy AHP, the VIKOR method is finally employed to determine the sustainability sequence of the BETs. From single-dimensional performance, direct-combustion power generation has the best environmental benefit; briquette fuel has the best economic benefit. From performances of integrated-dimensions, direct-combustion power generation, gasification power generation and briquette fuel are recognized as the most sustainable technologies under both the environmental priority situation and economic priority situation. The methods and results presented are expected to provide reference to development planning of ARs as well as other types of bioenergy.

Selecting sustainable energy conversion technologies for agricultural residues: A fuzzy AHP-VIKOR based prioritization from life cycle perspective

Unrestrained urban development and rapid expansion of motorized vehicles inevitably lead to unsustainable transportation systems from economic, social and environmental points of view, not only endangering public health but also pressuring ecosystems. Trying to address these issues, transportation policy makers face major challenges in their attempts to identify sustainable transportation alternatives. To provide a systematic approach for such endeavors, this paper evaluates different public bus technologies as urban transportation alternatives. In order to incorporate expert opinion into the model environment, a set of sustainability related criteria is established and expert opinion regarding the sustainability of vehicle options are obtained based on each criterion. Since the fulfillment of a single criterion is not sufficient to deduct meaningful conclusions, the evaluation considered the dependencies among the decision criteria in search of compromising solutions. To address this, an aggregation method based on Intuitionistic Fuzzy Choquet Integral (IFCI) and Group Decision Making (GDM) techniques is proposed. A fuzzy pairwise-comparison measure identification method is used in IFCI in order to define its parameters. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), another multi-criteria method that ignores interactions, and 2-additive Choquet integral are also employed. The outcomes of IFCI, 2-additive Choquet integral and TOPSIS are compared with one another. The findings indicate that dependencies among decision criteria significantly affect the selection process of the most sustainable urban transportation system and can alter the rankings.

Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integral approach

This paper describes a methodology for the application of Multi-Criteria Decision-Making (MCDM) on the technology selection for emissions reduction from shipping under uncertainties and incomplete information. Nine criteria in four aspects, including technological (maturity), economic (capital cost and operation cost), environmental (effects of SO x , NO x , GHG, and PM reduction), and social–political aspects (government support and social acceptability), were used for the sustainability assessment. The study aims at developing the methodology for technology selection for emissions reduction from shipping by combining Fuzzy Analytic Hierarchy Process (AHP) and VIKOR. Fuzzy AHP was used to determine the weights of the evaluation criteria and the relative performance of the alternatives with respect to each evaluation criterion, and VIKOR was used to prioritize the alternative technologies. The two methods of VIKOR and the traditional AHP were combined to validate the proposed methodology. Three alternative technologies of low sulphur fuel, scrubber and LNG were studied using the proposed model, and the results indicate that the proposed methodology is capable of assisting the decision-makers to select the most sustainable technology for emissions reduction from shipping under uncertainties and incomplete information.

Jingzheng Ren Ren

Papers

Fuzzy multi-criteria decision-making method for technology selection for emissions reduction from shipping under uncertainties