Power Plant and Turbogenerator Models for Engineering and Training Simulators

Neuman, P.

doi:10.3182/20120902-4-fr-2032.00056

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…As discussed in detail by Lazarova-Molnar et al (2016), most past research on emulators involved fault detection diagnosis (FDD), which is treated in Annex 25 following Annex 17 (IEA 1999). However, very few studies have focused on the training or educational uses of emulators (Neuman 2011(Neuman , 2012Serra et al 2017). Kelly and May (1990) reported in detail an emulatorbased method for testing BEMS, outlining the major BEMS functions and hardware and software configurations available at that time and describing the evaluation criteria, conditions, and results of BEMS testing.…”

Section: Review Of Research Related To Emulator Constructionmentioning

confidence: 99%

Development of building thermal environment emulator to evaluate the performance of the HVAC system operation

Togashi

Miyata

2019

Journal of Building Performance Simulation

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A "performance gap" arises when the actual value of building energy consumption during the operational phase deviates from the value predicted using simulation during the design phase. One cause of this performance gap is that operation is not ideal, as assumed in the simulation, and the control of the heating, ventilating, and air conditioning (HVAC) system is not optimized. These problems occur because the operator has not been trained sufficiently and/or the building automation system is not working as intended by the developer. Both problems are fundamentally caused by the fact that the quality of building operation cannot be quantitatively evaluated by comparison with other buildings because a building is a heterogenous, single-item product. To address the performance gap problem, we developed a method for quantitatively evaluating building operation using a precise simulation based on a thermal environment emulator. The emulator software was developed using the BACnet protocol as an interface to the real world and includes an occupant behavior model to enable the assessment of operation in terms of thermal comfort as well as energy performance. In this paper, we report on the program and network structure of the proposed emulator. In addition, we show the concrete results of changing the operational control, and we assess changes in energy performance and comfort from the perspective of Pareto efficiency.

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Section: Review Of Research Related To Emulator Constructionmentioning

confidence: 99%

Development of building thermal environment emulator to evaluate the performance of the HVAC system operation

Togashi

Miyata

2019

Journal of Building Performance Simulation

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“…Effects designed and verified method of intelligent control in the Smart Grid Heating are following: a. A combined heat and power (CHP) plant produces electrical power as well as heat for the DHS (Neuman, 2012a). In a CHP plant water is boiler to steam which is in turn overheated to about 500-600 °C.…”

Section: Introductionmentioning

confidence: 99%