A simple methodology for capacity sizing of cogeneration and trigeneration plants in hospitals: A case study for a university hospital

Abstract

Energy efficiency applications have great importance for facilities that utilize large amount of electrical and heat energy. Cogeneration (so called Combined Heat and Power; abbreviated as CHP) plants with gas engines are capable of generating both electrical and heat energy simultaneously using a single fuel input. In recent years, the realization of license exemption for facilities willing to produce electricity just for their energy demands by ensuring the condition of 80% total efficiency, low carbon emission of systems contain gas engines, rapid operation for synchronization and shortness of payback periods make cogeneration and trigeneration (so called Combined Cooling, Heat and Power; abbreviated as CCHP) plants more popular. This paper (i) briefly reviews cogeneration and trigeneration plants and their advantages, (ii) presents a novel methodology to determine the optimal capacity ratings for the plants by using the energy consumption profile, (iii) illustrates the calculation procedures including economic profit, thermal efficiency, and electricity generation of the selected system, and (iv) suggests the optimal capacity, plant placement and configuration for a medium-scale hospital. The energy savings potential at the university hospital is estimated as 19.66% and 19.52% with the use of natural gas based cogeneration and trigeneration plant, respectively. V C 2015 AIP Publishing LLC. [http://dx.

An enhanced operation model for energy storage system of a typical combined cool, heat and power based on demand response program: The application of mixed integer linear programming

“…20 The energy saving potential at a university hospital was estimated at 19.66% when natural gas was used on the basis of cogeneration and at 19.52% when it was used on the basis of trigeneration plant. 21 A Smart Energy Management Systems architecture has been proposed to solve the multi-objective operation management and scheduling problem in a typical micro-grid while considering different energy resource technologies. 22 Also, different impacts of cooling, heating and power changes have been compared in a power (CCHP) micro-grid equipped with the thermal storage tank.…”

“…Lack of investigation into the impact of using storage devices on optimum operation of an MEG through mixed integer linear programming (MILP) programming as in literature. 1,15,16,19,21,24,30,32,34,38,39,45,46,48,49,51,[57][58][59][60] . Lack of investigation into the impact of renewable energy resource on the optimum operation of an MEG at the distribution level as in literature.…”

“…Lack of investigation into the impact of renewable energy resource on the optimum operation of an MEG at the distribution level as in literature. [3][4][5][9][10][11]14,17,20,21,23,32,38,44,45,48,[51][52][53][54][55][56][57][58][59][60] . Lack of simultaneous inclusion of renewable resources and storages in a typical CCHP system as in literature.…”

“…The ignorance of energy hub in simulating an MEG with different constructions, ratings, parameters and constraints as in literature. 1,3,4,8,10,13,16,[18][19][20][21][22][23][26][27][28][29][30][31][32][34][35][36][37][38][39][40][41][42][43][45][46][47][48][49][51][52][53][55][56][57][58][59][60] . The ignorance of DR program for smart demand in operating an existing MEG as in literature.…”

“…The ignorance of DR program for smart demand in operating an existing MEG as in literature. [1][2][3][4][5][7][8][9][10][11]14,16,[18][19][20][21]26,29,30,32,37,39,41,42,[51][52][53]55,59,60 In contrast to the reviewed literature, the present paper is an attempt to develop a concept of MEG in that enhancing the spread of storages in distribution grids is mainly in focus with an emphasis on renewable energy resources. The extended concept of micro-grid is called MEG.…”