eprintid: 4895 rev_number: 21 eprint_status: archive userid: 351 dir: disk0/00/00/48/95 datestamp: 2016-01-15 02:07:36 lastmod: 2021-08-27 17:15:38 status_changed: 2016-01-15 02:07:36 type: monograph metadata_visibility: show item_issues_count: 2 creators_name: Canz, T. creators_id: 7518 title: Fuzzy Linear Programming in DSS for Energy System Planning ispublished: pub internal_subjects: iis_ene internal_subjects: iis_env internal_subjects: iis_met internal_subjects: iis_mod internal_subjects: iis_sys divisions: prog_mda divisions: prog_ysp abstract: Energy system planning requires the use of planning tools. The mathematical models of real-world energy systems are usually multiperiod linear optimization programs. In these models, the objective function describes the total discounted costs of covering the demand for final energy or energy services. The demand for various forms of energy or energy services is the driving force of the models. By using such linear programming (LP) formulations, decision makers can elaborate suitable strategies for solving their planning problems, such as the development of emission reduction strategies. Uncertainties that affect the process of energy system planning can be divided into parameter and decision uncertainties. Data or parameter uncertainties can be addressed either by stochastic optimization or by the methodology of fuzzy linear programming (FLP). In addition, FLP allows explicit incorporation of decision uncertainties into a mathematical model. This paper therefore aims at evaluating the methodology of FLP with respect to the support that it offers the decision-making process in energy system planning under uncertainty. Employing the parallels between multi-objective linear programming (MOLP) and FLP, problems of FLP in decision support system applications are pointed out and solutions are offered. The proposed modifications are based on the methodology of aspiration-reservation based decision support and still enable modeling of uncertainties in a fuzzy sense. A case study is documented to show the application of the modified FLP approach. date: 1996-11 date_type: published publisher: WP-96-132 iiasapubid: WP-96-132 price: 10 creators_browse_id: 1178 full_text_status: public monograph_type: working_paper place_of_pub: IIASA, Laxenburg, Austria pages: 48 coversheets_dirty: FALSE fp7_type: info:eu-repo/semantics/book citation: Canz, T. (1996). Fuzzy Linear Programming in DSS for Energy System Planning. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-132 document_url: https://pure.iiasa.ac.at/id/eprint/4895/1/WP-96-132.pdf