Jiangjiang Wang

TL;DR: In this article, the authors reviewed the corresponding methods in different stages of multi-criteria decision-making for sustainable energy, i.e., criteria selection, criteria weighting, evaluation, and final aggregation.

TL;DR: Based on the energy flow of combined cooling, heating and power (CCHP) system, the capacity and operation of CCHP system are optimized by genetic algorithm (GA) so as to maximize the technical, economical and environmental benefits achieved by CCHPs system in comparison to separation production system.

TL;DR: In this paper, the energy flow analysis of the conventional separation production (SP) system and the redundant building cooling heating and power (BCHP) system is presented, and an objective function to simultaneously measure the energetic, economical and environmental benefits achieved by BCHP system in comparison to SP system is constructed and maximized.

TL;DR: In this article, the authors analyzed the energy flows of CCHP system and separated production (SP) system and deduced the fuel consumption of combined cooling heating and power (CCHP) system following electrical demand management and thermal demand management, respectively.

TL;DR: In this paper, a fuzzy multi-criteria decision-making model (FMCDM) was proposed for trigeneration system selection and evaluation in a residential building, and the FMCDM model combining analytic hierarchical process was applied to the trigenerization case.