A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level

Mehleri, ED; Sarimveis, H; Markatos, NC; Papageorgiou, LG

dc.contributor.author	Mehleri, ED	en
dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Markatos, NC	en
dc.contributor.author	Papageorgiou, LG	en
dc.date.accessioned	2014-03-01T02:07:19Z
dc.date.available	2014-03-01T02:07:19Z
dc.date.issued	2012	en
dc.identifier.issn	03605442	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29543
dc.subject	Distributed generation	en
dc.subject	Energy systems	en
dc.subject	Heating pipeline network	en
dc.subject	Mixed integer linear programming	en
dc.subject	Optimal design	en
dc.subject	Optimisation	en
dc.subject.other	Additional equations	en
dc.subject.other	Combined heat and power units	en
dc.subject.other	Distributed energies	en
dc.subject.other	Distributed energy systems	en
dc.subject.other	Energy systems	en
dc.subject.other	Heat exchange	en
dc.subject.other	Heating and power	en
dc.subject.other	Investment costs	en
dc.subject.other	Micro-combined heat and power	en
dc.subject.other	Mixed integer linear programming	en
dc.subject.other	Neighbourhood	en
dc.subject.other	Objective functions	en
dc.subject.other	Optimal design	en
dc.subject.other	Optimal selection	en
dc.subject.other	Optimisations	en
dc.subject.other	Photovoltaic arrays	en
dc.subject.other	Power grids	en
dc.subject.other	Super-structures	en
dc.subject.other	System components	en
dc.subject.other	Distributed power generation	en
dc.subject.other	Investments	en
dc.subject.other	Mathematical programming	en
dc.subject.other	Photovoltaic cells	en
dc.subject.other	Pipelines	en
dc.subject.other	Optimal systems	en
dc.subject.other	electricity generation	en
dc.subject.other	electricity supply	en
dc.subject.other	heat transfer	en
dc.subject.other	heating	en
dc.subject.other	numerical model	en
dc.subject.other	optimization	en
dc.subject.other	photovoltaic system	en
dc.subject.other	pipeline	en
dc.title	A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.energy.2012.02.009	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.energy.2012.02.009	en
heal.publicationDate	2012	en
heal.abstract	This paper presents a mixed-integer linear programming (MILP) super-structure model for the optimal design of distributed energy generation systems that satisfy the heating and power demand at the level of a small neighborhood. The objective is the optimal selection of the system components among several candidate technologies (micro combined heat and power units, photovoltaic arrays, boilers, central power grid), including the optimal design of a heating pipeline network, that allows heat exchange among the different nodes. The objective function to be minimised contains the annualised overall investment cost and the annual operating cost of the system. We show that besides the usual energy balance and unit operations constraints, additional equations must be included in the model to guarantee correctness of the produced heating pipeline designs. A special instance of the problem where a single centralised combined heat and power unit is installed in the neighborhood is also considered. The efficiency of the proposed model is evaluated through illustrating examples. © 2012 Elsevier Ltd.	en
heal.journalName	Energy	en
dc.identifier.doi	10.1016/j.energy.2012.02.009	en
dc.identifier.volume	44	en
dc.identifier.issue	1	en
dc.identifier.spage	96	en
dc.identifier.epage	104	en