“…Figure 15 shows the cost of gas each hour over the two weeks analyzed in the study (1 week = 168 h). A comparison is made between the cost of one week in July (18)(19)(20)(21)(22)(23)(24) 2011, and one week in September (12)(13)(14)(15)(16)(17)(18) 2011.…”
Section: Temperature °Cmentioning
confidence: 99%
“…Bujak [11] improves the energy efficiency of a steam thermal power plant using mathematical modeling; Klein [12] reduced energy consumption by increasing the number of sensors and computational support of the Energy Management Control Systems (EMCS). Yoshida [13] performed an analysis of energy supply in hospitals, based on a sensitivity analysis. Ma and Wang [14] improved the control strategy of a centralized cooling plant's efficiency.…”
Abstract:The aim of energy efficiency is to use less energy to provide the same service. In hospitals, energy efficiency offers a powerful and cost-effective tool to reduce greenhouse gas emissions, fuel consumption, and also running costs. Over a six-month period, the six gas-fired boilers that provide both a hospital's heat and hot water were monitored. Analysis of the data obtained led to several actions being implemented in the hospital boiler room control system to improve the efficiency of the heat production system. Comparative studies were conducted, during similar weather periods, of the performance of the hospital's hot water production system before and after the controls were implemented. Results indicate that the control actions applied proved to be effective. Finally; the paper offers a financial; primary energy saving and CO 2 reduction analysis that points to a 3,434.00 €/week savings in natural gas consumption; and a cut in CO 2 emissions of 20.3 tons/week; as compared to the reference facility.
“…Figure 15 shows the cost of gas each hour over the two weeks analyzed in the study (1 week = 168 h). A comparison is made between the cost of one week in July (18)(19)(20)(21)(22)(23)(24) 2011, and one week in September (12)(13)(14)(15)(16)(17)(18) 2011.…”
Section: Temperature °Cmentioning
confidence: 99%
“…Bujak [11] improves the energy efficiency of a steam thermal power plant using mathematical modeling; Klein [12] reduced energy consumption by increasing the number of sensors and computational support of the Energy Management Control Systems (EMCS). Yoshida [13] performed an analysis of energy supply in hospitals, based on a sensitivity analysis. Ma and Wang [14] improved the control strategy of a centralized cooling plant's efficiency.…”
Abstract:The aim of energy efficiency is to use less energy to provide the same service. In hospitals, energy efficiency offers a powerful and cost-effective tool to reduce greenhouse gas emissions, fuel consumption, and also running costs. Over a six-month period, the six gas-fired boilers that provide both a hospital's heat and hot water were monitored. Analysis of the data obtained led to several actions being implemented in the hospital boiler room control system to improve the efficiency of the heat production system. Comparative studies were conducted, during similar weather periods, of the performance of the hospital's hot water production system before and after the controls were implemented. Results indicate that the control actions applied proved to be effective. Finally; the paper offers a financial; primary energy saving and CO 2 reduction analysis that points to a 3,434.00 €/week savings in natural gas consumption; and a cut in CO 2 emissions of 20.3 tons/week; as compared to the reference facility.
“…This approach takes account of investment costs, operating costs of units for all periods and the planning for scheduled maintenance of equipment. Yoshida et al (2007) proposed a mathematical optimisation method to determine the optimal system structure and operational strategy for a tri-generation system for a hospital. In this work (Yoshida et al 2007), a sensitivity analysis was also performed on uncertainties related to energy prices and decline in equipment costs.…”
Section: Integrated Approachesmentioning
confidence: 99%
“…Yoshida et al (2007) proposed a mathematical optimisation method to determine the optimal system structure and operational strategy for a tri-generation system for a hospital. In this work (Yoshida et al 2007), a sensitivity analysis was also performed on uncertainties related to energy prices and decline in equipment costs. Meanwhile, Aguilar et al (2007a, b) presented a systematic methodology which is able to simultaneously synthesise, design and optimise the capital investment of a cogeneration system subject to variable design conditions.…”
An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review.
“…Moreover, biomass energy techniques would promote the use of a widely available renewable energy source in the Autonomous Community of Extremadura [7], and would also serve to suitably change wastes into raw material for energy purposes [8]. However, the background to the use of biomass [9] has few precedents in the particular case of hospitals [10][11][12].…”
Journal of Architectural Engineering Technology
AbstractHospital are shown to be suitable facilities for installation of thermal production systems based on biomass, provided their high rates of hot domestic water consumption as well as the high heating and cooling energy needs. Given the particular features of this type of buildings, amortization would be guaranteed by continuous operation of equipment. In addition, it is enhanced that the promotion of biomass as renewable energy source might help create and consolidate a native biomass market (at emerging stage at beginning of this project and currently at consolidation stage) which will eventually serve to improve economic development in rural areas.
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