The Experts below are selected from a list of 515487 Experts worldwide ranked by ideXlab platform

Sumio Shiochi - One of the best experts on this subject based on the ideXlab platform.

  • modeling and Energy Simulation of the variable refrigerant flow air conditioning system with water cooled condenser under cooling conditions
    Energy and Buildings, 2009
    Co-Authors: Sumio Shiochi
    Abstract:

    As a new system, variable refrigerant flow system with water-cooled condenser (water-cooled VRF) can offer several interesting characteristics for potential users. However, at present, its dynamic Simulation simultaneously in association with building and other equipments is not yet included in the Energy Simulation programs. Based on the EnergyPlus's codes, and using manufacturer's performance parameters and data, the special Simulation module for water-cooled VRF is developed and embedded in the software of EnergyPlus. After modeling and testing the new module, on the basis of a typical office building in Shanghai with water-cooled VRF system, the monthly and seasonal cooling Energy consumption and the breakdown of the total power consumption are analyzed. The Simulation results show that, during the whole cooling period, the fan-coil plus fresh air (FPFA) system consumes about 20% more power than the water-cooled VRF system does. The power comparison between the water-cooled VRF system and the air-cooled VRF system is performed too. All of these can provide designers some ideas to analyze the Energy features of this new system and then to determine a better scheme of the air conditioning system.

  • Energy Simulation in the variable refrigerant flow air conditioning system under cooling conditions
    Energy and Buildings, 2007
    Co-Authors: Yang Zhou, R Z Wang, Sumio Shiochi
    Abstract:

    As a high-efficiency air-conditioning scheme, the variable refrigerant flow (VRF) air-conditioning system is finding its way in office buildings. However, there is no well-known Energy Simulation software available so far which can be used for the Energy analysis of VRF. Based on the generic dynamic building Energy Simulation environment, EnergyPlus, a new VRF module is developed and the Energy usage of the VRF system is investigated. This paper compares the Energy consumption of the VRF system with that of two conventional air-conditioning systems, namely, variable air volume (VAV) system as well as fan-coil plus fresh air (FPFA) system. A generic office building is used to accommodate the different types of heating, ventilating, and air-conditioning (HVAC) systems. The work focuses on the Energy consumption of the VRF system in the office buildings and helps the designer's evaluation and decision-making on the HVAC systems in the early stages of building design. Simulation results show that the Energy-saving potentials of the VRF system are expected to achieve 22.2% and 11.7%, compared with the VAV system and the FPFA system, respectively. Energy-usage breakdown for the end-users in various systems is also presented.

J. Neymark - One of the best experts on this subject based on the ideXlab platform.

  • applying the building Energy Simulation test bestest diagnostic method to verification of space conditioning equipment models used in whole building Energy Simulation programs
    Energy and Buildings, 2002
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of building Energy Simulation programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. This procedure is based on the International Energy Agency (IEA) building Energy Simulation test (BESTEST) diagnostic method and systematically tests whole-building Energy Simulation software by comparing results from such software to analytical solutions that were developed for the test cases. Field trials of the new procedure were conducted by researchers from nations participating in the IEA Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the US, including: CA-SIS, CLIM2000, EnergyPLUS, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. This article also includes discussion about Simulation validation methodologies.

  • international Energy agency building Energy Simulation test and diagnostic method for heating ventilating and air conditioning equipment models hvac bestest volume 1 cases e100 e200
    2002
    Co-Authors: J. Neymark, Ron Judkoff
    Abstract:

    This report describes the Building Energy Simulation Test for Heating, Ventilating, and Air-Conditioning Equipment Models (HVAC BESTEST) project conducted by the Tool Evaluation and Improvement International Energy Agency (IEA) Experts Group. The group was composed of experts from the Solar Heating and Cooling (SHC) Programme, Task 22, Subtask A. The current test cases, E100-E200, represent the beginning of work on mechanical equipment test cases; additional cases that would expand the current test suite have been proposed for future development.

  • hvac bestest a procedure for testing the ability of whole building Energy Simulation programs to model space conditioning equipment preprint
    Building Simulation 2001 Rio de Janeiro (BR) 08 13 2001--08 15 2001, 2001
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of Building Energy Simulation Programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques (Judkoff 1988). An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. Field trials of the method were conducted by researchers from nations participating in the International Energy Agency (IEA) Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the United States, including: CA-SIS, CLIM2000, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. Analytical solutions were also developed for the test cases.

  • International Energy Agency building Energy Simulation test (BESTEST) and diagnostic method
    1995
    Co-Authors: Ron Judkoff, J. Neymark
    Abstract:

    This is a report on the Building Energy Simulation Test (BESTEST) project conducted by the Model Evaluation and Improvement International Energy Agency (IEA) Experts Group. The group was composed of experts from the Solar Heating and Cooling (SHC) Programme, Task 12 Subtask B, and the Energy Conservation in Buildings and Community Systems (BCS) Programme, Annex 21 Subtask C. Recognizing that the needs for model evaluation were similar in both IEA programmes, the combined Experts Group was approved by the Executive Committees in 1990. This is the first joint group organized by the respective IEA Executive Committees, and it has resulted in significant cost savings for all participating countries. The objective of this subtask has been to develop practical implementation procedures and data for an overall IEA validation methodology which has been under development by NREL since 1981, with refinements contributed by the United Kingdom. The methodology consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. This report documents a comparative testing and diagnostic procedure for thermal models related to the architectural fabric of the building. Other projects (reported elsewhere) conducted by this group include work on empirical validation, analytical verification, and comparative test cases for commercialmore » buildings. In the BESTEST project, a method was developed for systematically testing whole-building Energy Simulation programs and diagnosing the sources of predictive disagreement. Field trials of the method were conducted with a number of {open_quotes}reference{close_quotes} programs selected by the participants to represent the best state-of-the-art detailed Simulation capability available in the United States and Europe. These included BLAST, DOE2, ESP, SERIRES, S3PAS, TASE, and TRNSYS.« less

G Zweifel - One of the best experts on this subject based on the ideXlab platform.

  • applying the building Energy Simulation test bestest diagnostic method to verification of space conditioning equipment models used in whole building Energy Simulation programs
    Energy and Buildings, 2002
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of building Energy Simulation programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. This procedure is based on the International Energy Agency (IEA) building Energy Simulation test (BESTEST) diagnostic method and systematically tests whole-building Energy Simulation software by comparing results from such software to analytical solutions that were developed for the test cases. Field trials of the new procedure were conducted by researchers from nations participating in the IEA Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the US, including: CA-SIS, CLIM2000, EnergyPLUS, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. This article also includes discussion about Simulation validation methodologies.

  • hvac bestest a procedure for testing the ability of whole building Energy Simulation programs to model space conditioning equipment preprint
    Building Simulation 2001 Rio de Janeiro (BR) 08 13 2001--08 15 2001, 2001
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of Building Energy Simulation Programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques (Judkoff 1988). An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. Field trials of the method were conducted by researchers from nations participating in the International Energy Agency (IEA) Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the United States, including: CA-SIS, CLIM2000, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. Analytical solutions were also developed for the test cases.

Chengxian Lin - One of the best experts on this subject based on the ideXlab platform.

  • a multi zone building Energy Simulation of a data center model with hot and cold aisles
    Energy and Buildings, 2014
    Co-Authors: Long Phan, Chengxian Lin
    Abstract:

    Abstract In this paper, a building Energy Simulation code, EnergyPlus, was used to study the effects of wall boundary conditions, climatic locations, supply air temperatures, and volumetric flow rates, on the Energy consumption and thermal performance of a popular data center model. The data center model having 1120 servers distributed in four rows of rack was investigated under two major climatic conditions–hot and humid (Miami, FL), and cool and humid (Chicago, IL). A multi-zone modeling approach was proposed to resolve the hot and cold aisles in the data center, and was compared to existing well-mixed single-zone model. Using the multi-zone approach that is believed more reasonable, both monthly and annual overall Energy consumptions as well as cooling load were analyzed under various boundary conditions. In addition, monthly thermal behavior in the zones for hot and cold aisles within the data center was analyzed. The Simulation results show that thermal performance of the data center is significantly affected by locations or climatic conditions. The effects of location and wall boundary conditions are particularly appreciable during the summer and winter seasons. An optimal supply temperature of 11.8 °C, and air flow rate of 2.5 m 3 /s were found to be most preferred selections for the data center model.

Ron Judkoff - One of the best experts on this subject based on the ideXlab platform.

  • applying the building Energy Simulation test bestest diagnostic method to verification of space conditioning equipment models used in whole building Energy Simulation programs
    Energy and Buildings, 2002
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of building Energy Simulation programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. This procedure is based on the International Energy Agency (IEA) building Energy Simulation test (BESTEST) diagnostic method and systematically tests whole-building Energy Simulation software by comparing results from such software to analytical solutions that were developed for the test cases. Field trials of the new procedure were conducted by researchers from nations participating in the IEA Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the US, including: CA-SIS, CLIM2000, EnergyPLUS, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. This article also includes discussion about Simulation validation methodologies.

  • international Energy agency building Energy Simulation test and diagnostic method for heating ventilating and air conditioning equipment models hvac bestest volume 1 cases e100 e200
    2002
    Co-Authors: J. Neymark, Ron Judkoff
    Abstract:

    This report describes the Building Energy Simulation Test for Heating, Ventilating, and Air-Conditioning Equipment Models (HVAC BESTEST) project conducted by the Tool Evaluation and Improvement International Energy Agency (IEA) Experts Group. The group was composed of experts from the Solar Heating and Cooling (SHC) Programme, Task 22, Subtask A. The current test cases, E100-E200, represent the beginning of work on mechanical equipment test cases; additional cases that would expand the current test suite have been proposed for future development.

  • hvac bestest a procedure for testing the ability of whole building Energy Simulation programs to model space conditioning equipment preprint
    Building Simulation 2001 Rio de Janeiro (BR) 08 13 2001--08 15 2001, 2001
    Co-Authors: J. Neymark, Ron Judkoff, G Knabe, M Durig, A Glass, G Zweifel
    Abstract:

    Validation of Building Energy Simulation Programs consists of a combination of empirical validation, analytical verification, and comparative analysis techniques (Judkoff 1988). An analytical verification and comparative diagnostic procedure was developed to test the ability of whole-building Simulation programs to model the performance of unitary space-cooling equipment that is typically modeled using manufacturer design data presented as empirically derived performance maps. Field trials of the method were conducted by researchers from nations participating in the International Energy Agency (IEA) Solar Heating and Cooling (SHC) Programme Task 22, using a number of detailed hourly Simulation programs from Europe and the United States, including: CA-SIS, CLIM2000, PROMETHEUS, TRNSYS-TUD, and two versions of DOE-2.1E. Analytical solutions were also developed for the test cases.

  • International Energy Agency building Energy Simulation test (BESTEST) and diagnostic method
    1995
    Co-Authors: Ron Judkoff, J. Neymark
    Abstract:

    This is a report on the Building Energy Simulation Test (BESTEST) project conducted by the Model Evaluation and Improvement International Energy Agency (IEA) Experts Group. The group was composed of experts from the Solar Heating and Cooling (SHC) Programme, Task 12 Subtask B, and the Energy Conservation in Buildings and Community Systems (BCS) Programme, Annex 21 Subtask C. Recognizing that the needs for model evaluation were similar in both IEA programmes, the combined Experts Group was approved by the Executive Committees in 1990. This is the first joint group organized by the respective IEA Executive Committees, and it has resulted in significant cost savings for all participating countries. The objective of this subtask has been to develop practical implementation procedures and data for an overall IEA validation methodology which has been under development by NREL since 1981, with refinements contributed by the United Kingdom. The methodology consists of a combination of empirical validation, analytical verification, and comparative analysis techniques. This report documents a comparative testing and diagnostic procedure for thermal models related to the architectural fabric of the building. Other projects (reported elsewhere) conducted by this group include work on empirical validation, analytical verification, and comparative test cases for commercialmore » buildings. In the BESTEST project, a method was developed for systematically testing whole-building Energy Simulation programs and diagnosing the sources of predictive disagreement. Field trials of the method were conducted with a number of {open_quotes}reference{close_quotes} programs selected by the participants to represent the best state-of-the-art detailed Simulation capability available in the United States and Europe. These included BLAST, DOE2, ESP, SERIRES, S3PAS, TASE, and TRNSYS.« less