Optimal Cogeneration Technology Selection for Residential and Commercial Buildings

Authors

  • Miguel Angel Lozano Serrano Grupo GITSE-I3A, Department of Mechanical Engineering, Universidad de Zaragoza.
  • José Ramos Saravia María de Luna 3, 50018 Zaragoza, España.

DOI:

https://doi.org/10.13052/dgaej2156-3306.2541

Abstract

The energy requirements for most residential and commercial
buildings show both annual or seasonal, and daily variations. In addi-
tion, depending on the electrical rate schedule and location, there can
be time-of-use variation in the prices a customer pays for electricity.
Such facts make it harder to select (a) the best-fit equipment for the host
building and (b) the best operating strategy for the selected equipment.
This article proposes a mixed integer programming (MILP) model to
help decide the optimal make up of a prospect cogeneration system as
applied to a residential complex located in Zaragoza, Spain. The model
considers the possibility of whether to use or not a set of proposed al-
ternative technologies within a previously defined superstructure. Such
superstructure is defined through binary variables and takes into ac-
count the optimal operation of all feasible combinations of technologies
throughout a typical meteorological year. The model’s objective function
is to minimize the total annual cost, which includes the cost of invested
capital, subject to technical, economic and legal constraints.

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Author Biographies

Miguel Angel Lozano Serrano, Grupo GITSE-I3A, Department of Mechanical Engineering, Universidad de Zaragoza.

Miguel Ángel Lozano Serrano is a full professor at the Mechani-
cal Engineering Department of Universidad de Zaragoza (Spain) since
1982. He has directed courses on Thermodynamics, Energy Systems
Design and Optimization, Energy Technology, and Thermoeconomics.
After obtaining his Chemical Engineering degree from ETSII de Bar-
celona (1981), he earned his doctorate in Industrial Engineering from
Universidad de Zaragoza (1987) receiving an Extraordinary award. His
research about the “theory of exergetic cost” was recognized with two
ASME Edward F. Obert awards (1986 and 1987). He is a member of the
Thermal Engineering and Energy Systems Group (GITSE) of the Aragón
Institute of Engineering Research (I3A). His research is focused on the
improvement of energy efficiency in thermal systems, the synthesis of
process and energy systems, the optimal design of cogeneration and
polygeneration plants, and the evaluation of innovative energy supply
systems for buildings. Dr. Lozano has published over 100 papers, and
served as consultant for various business and organizations. He is a
member of AIChE, ASHRAE and ASME.

José Ramos Saravia, María de Luna 3, 50018 Zaragoza, España.

José Ramos Saravia is a Mechanical Engineer graduated at Uni-
versidad Nacional de Ingeniería UNI, Perú (1994). He holds an Ad-
vanced Thermal Engineering and Energy Optimization Diploma from
Universidad de Zaragoza, Spain (2000). Since 1994 until 1998, in Peru,
he was a plant engineer and consultant to companies such as Pipe
Service Internacional, Balones Andinos and Practical Action PERU. At
UNI (1996-1998) he was a professor of Energy Economics and Hydraulic
Turbo-Machinery. At Universidad de Zaragoza (2002-2008) he was pro-
fessor of Thermodynamics, Energy Technology and Energy Planning. He
now teaches graduate courses on Gas Turbines and Combined Cycles,
Cogeneration and District Heating. In Spain, he consults with industrial
and service companies and he is a researcher with the Thermal Engineer-
ing and Energy Systems Group (GITSE-I3A). His research focuses on the
analysis, simulation and design optimization and operation of energy
systems, such as combined cycles, cogeneration, trigeneration plants as
well as District Heating & Cooling. He is a member of Colegio de In-
genieros del Perú, Ingeniería sin Fronteras (España) y COGEN España
(part of COGEN Europe).

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Published

2010-10-19

How to Cite

Serrano, M. A. L. ., & Saravia, J. R. . (2010). Optimal Cogeneration Technology Selection for Residential and Commercial Buildings. Distributed Generation &Amp; Alternative Energy Journal, 25(4), 8–19. https://doi.org/10.13052/dgaej2156-3306.2541

Issue

2010: Vol 25 Iss 4

Section

Articles