Ultra-low energy Army installations

Bawden Kim, Valentina Prado, Thomas Seager, Abigail R. Mechtenberg, Erin Bennett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The concept of energy conservation is now deeply entrenched in building design and operation. Typical approaches take a first law perspective that seeks to reduce energy quantity losses at individual system components. While this conventional approach often results in energy savings, it is not sufficient to realize ultra-low energy communities. However, the concept of energy quality, which derives from the second law of thermodynamics, is capable of more holistic, systems analyses, revealing opportunities for efficiency improvement, energy quality matching, or energy cascading that may otherwise go unnoticed. This paper makes two cross-comparisons of analytic perspectives for understanding energy consumption in different types of Army communities. The first is a comparison of first and second law perspectives of energy improvement technologies at a permanent Army base in the United States. The second is a comparison of electricity generation efficiencies at forward operating bases under conditions that do not consider supply chain fuel consumption and those that do. Considerable differences exist in the conclusions and recommendations that are generated by the different perspectives in each case. In the permanent community, second law analysis is useful for demonstrating the value of combined heat and power at an existing heating district. In the second case, the consumption of fuel in long convoys suggests that delivery of energy equipment (such as solar panels) is in itself an important source of fuel consumption that should be considered in optimization of solar energy technologies.

Original languageEnglish (US)
Title of host publicationASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011
Pages729-736
Number of pages8
Volume1
StatePublished - 2011
EventASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011 - Scottsdale, AZ, United States
Duration: Sep 18 2011Sep 21 2011

Other

OtherASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011
CountryUnited States
CityScottsdale, AZ
Period9/18/119/21/11

Fingerprint

Fuel consumption
Energy conservation
District heating
Solar energy
Supply chains
Energy dissipation
Energy utilization
Electricity
Thermodynamics
Hot Temperature

Keywords

  • Cogeneration
  • Combined heat and power
  • Exergy
  • Forward operating bases
  • Photovoltaics

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Biomaterials

Cite this

Kim, B., Prado, V., Seager, T., Mechtenberg, A. R., & Bennett, E. (2011). Ultra-low energy Army installations. In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011 (Vol. 1, pp. 729-736)

Ultra-low energy Army installations. / Kim, Bawden; Prado, Valentina; Seager, Thomas; Mechtenberg, Abigail R.; Bennett, Erin.

ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011. Vol. 1 2011. p. 729-736.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, B, Prado, V, Seager, T, Mechtenberg, AR & Bennett, E 2011, Ultra-low energy Army installations. in ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011. vol. 1, pp. 729-736, ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011, Scottsdale, AZ, United States, 9/18/11.
Kim B, Prado V, Seager T, Mechtenberg AR, Bennett E. Ultra-low energy Army installations. In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011. Vol. 1. 2011. p. 729-736
Kim, Bawden ; Prado, Valentina ; Seager, Thomas ; Mechtenberg, Abigail R. ; Bennett, Erin. / Ultra-low energy Army installations. ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2011. Vol. 1 2011. pp. 729-736
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