Optimum Facility Design in Large Hospital using Renewable Energy

Abstract

The purpose of this paper is to propose a facility design model for an optimizing distributed generation (DG) planning in combined between an emergency generator (EG) and a photovoltaic (PV) in a large hospital. Even if a power failure occurs due to a natural disaster or utility-grid troubles, the large hospitals installed with EGs can keep up medical services. However, the actual operating days of EG depend on fuel consumption, it is hard to respond to long-term power failure more than three days, which is the standard operating days. In previous work, we have developed an energy management system (EMS) algorithm for the DG for a combination of the EGs with the PV using mathematical programing due to minimization of fuel consumption for operating EGs as long as possible assuming for a long-term power failure. Our proposed algorithm on the EMS has been evaluated a power management strategy for one week in an islanded operation mode using an emulation system. So, we modify our developed hospital grid model to hospitals with various load sizes and utilize it for facility design methods for an optimizing DG planning. A proposed method to the facility design is to estimate the DG capacity with the optimal EGs and PV combination from the fuel consumption rate in order to plan an efficient EMS to provide medical services in long-term power failure. This paper presents a proposal and verification of the facility design model that can predict the fuel consumption rate of EGs without regard with installed capacity by using our developed hospital grid model incorporated with the EMS algorithm. As a result, it is clarified that the fuel consumption rate can be predicted with an error of 2 % or less.