Energy management in buildings: A systems approach

Kouloura, T.C.; Genikomsakis, Konstantinos N.; Protopapas, Angelos L.

doi:10.1002/sys.20099

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…This is particularly true for the current business models in the energy management and construction area, which are characterized by self-optimization and a strong focus of the individual companies instead of focusing the attention on the value provided to the customer [17]. The idea of the 4PEP Business Model -that will be described in the next section -is to overcome this issue in order to provide a comprehensive business model for the whole construction chain.…”

Section: Casbee (Comprehensive Assessment System For Built Environmenmentioning

confidence: 99%

A Fourth Party Energy Provider for the Construction Value Chain: Identifying Needs and Establishing Requirements

Cavalieri

Ierace

Pedrali

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. Today's building and energy management market is heterogeneous and complex. Most of the players in the construction market are not in possession of the managerial capability to fully control the dynamics that affect their energy costs in terms of energy sourcing and energy management. Moreover, construction industry needs to rely on a stronger technical and commercial expertise. On one hand, there is a need of an in-depth and extensive level of technical know-how that most of facility managers, property developers and building owners at private and public level scarcely hold. On the other hand, this industry is characterized by a fragmentation within the single tiers of the value chain. In this context, the paper aims at proposing a new vision of the building value chain towards a collaborative network led by a new player, namely the Fourth Party Energy Provider, acting as the "one-stop contracting and managing" operator, integrating resources, capabilities, best available technologies and practices for providing energy-efficient building solutions.

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Section: Casbee (Comprehensive Assessment System For Built Environmenmentioning

confidence: 99%

A Fourth Party Energy Provider for the Construction Value Chain: Identifying Needs and Establishing Requirements

Cavalieri

Ierace

Pedrali

et al. 2013

IFIP Advances in Information and Communication Technology

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“…The reengineering and design of an energy system for a defense installation provides motivating context for describing the concept of mise‐en‐scène in a real engineering setting. A systems approach is needed for large‐scale energy planning, design, and management [Martinez, Lambert, and Karvetski, 2011; Kouloura, Genikomsakis, and Protopapas, 2008]. This setting involves a working group of stakeholders that include energy managers from the installation, representatives from the utility companies, building tenants, government officials with supporting doctrines, and other participants from the private sector.…”

Section: Problem Descriptionmentioning

confidence: 99%

Evaluating deep uncertainties in strategic priority‐setting with an application to facility energy investments

Karvetski

Lambert

2012

Systems Engineering

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A recent paper in this journal described the identification and integration of sources of risk in a systems engineering process model [Lambert, Jennings, and Joshi, Syst Eng 9(3) (2006), 187–198]. The earlier effort falls short in addressing sources of deep, nonprobabilistic uncertainty that should enter to strategic systems design and reengineering. Our new paper incorporates the earlier effort to a framework for evaluating which are the deep uncertainties that most influence a priority‐setting among investments in large‐scale systems with multiple stakeholders, and therefore warrant more investigation. The framework addresses that deep uncertainties are continuously discovered and reflective of diverse and unique stakeholder experiences, knowledge bases, and advocacy positions. Deep uncertainties are epistemic viewpoints across which the strategic priorities for investments will differ. The framework modifies existing tools of scenario analysis and multicriteria analysis to process and filter the deep uncertainties. The framework is demonstrated in an application to reengineering of an energy system for a defense installation where frequent outages are disruptive to scientific and other missions. The sources of deep uncertainty in the demonstration include regulatory, economic, environment, cyber‐threat, and others. The investments include innovative microturbine and microgrid technologies. An example of a result is that international economic disruption is relatively more influential than cyber‐threats to strategic priority‐setting for investing in a microgrid at the particular installation. ©2012 Wiley Periodicals, Inc. Syst Eng 15

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“…Their work focused on listing sequential procedures to examine the effectiveness of different energy options. Kouloura et al [16] presented a methodology for decomposing energy problems for buildings into multi-energy systems in different forms (hyper, parallel, and sub-systems). The methodology allows us to observe the coupling of energy processes in buildings, based on the system analyses of student housing buildings in the city of Xanthi, Greece, as a case study.…”

Section: Introductionmentioning

confidence: 99%

A Micro Energy Grid Optimal Design and Economic Operation Using Genetic Algorithms

Eldessouky,

Fahmy

2023

J. Eng. Adv.

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This paper presents an optimal design procedure and economic operational scheduling of micro energy grids (MEGs). The optimization objectives are to minimize cost, carbon dioxide emissions, and energy deficiency. The energy sources and conversion technologies included in this study are renewable-based sources (wind and photovoltaic), a furnace, an electrical heater, a main power grid, and a local power station. Two proposed control levels are applied to control the operation of the MEG. The supervisor control level selects the energy supplier based on price and/or availability. The inner control level dynamically matches the demand profile with the supply profile. The control loops guarantee dynamic matching between the demand profile and supply profile. Two scenarios are simulated, zero interest rates and 5.25% interest rates. The results showed renewables contribute with a significant share as an energy source, however, higher interest rates would negatively impact this contribution. It also confirms that carbon taxes can reduce the use of fossil fuels as an energy source.

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Energy management in buildings: A systems approach

Cited by 8 publications

References 12 publications

A Fourth Party Energy Provider for the Construction Value Chain: Identifying Needs and Establishing Requirements

A Fourth Party Energy Provider for the Construction Value Chain: Identifying Needs and Establishing Requirements

Evaluating deep uncertainties in strategic priority‐setting with an application to facility energy investments

A Micro Energy Grid Optimal Design and Economic Operation Using Genetic Algorithms

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