The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems

Gimelli, Alfredo; Muccillo, Massimiliano

doi:10.3390/en11040821

Cited by 14 publications

(13 citation statements)

References 61 publications

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“…The results obtained by simulations were outlined in the following lines, where energy needs for heating, cooling and lighting converted into primary energy demand (PED) were reported. For the conversion it was assumed a global efficiency of the heating system (powered by natural gas boiler) equal to 0.68, assessed by considering all the efficiencies values of the system (emission and control, distribution and generation) [107]; the average efficiency of the electricity production system in Italy, equal to 0.46 [108][109][110]; a conversion factor of 0.92 for cooling energy demand, obtained from the product between the emission and control efficiency, the distribution efficiency of the system, an energy efficiency ratio EER for the electric chiller of 2.7 and the average efficiency of the national electricity production system.…”

Section: Resultsmentioning

confidence: 99%

The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions

Cesari

Valdiserri²,

Coccagna³

et al. 2020

Energies

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If not properly designed, the adoption of large windows can sometimes have a negative impact on building energy demand. For this reason, aggravated by the outdated building envelope of the healthcare building stock, large fenestration systems are usually avoided in hospitals, especially in old structures. However, with appropriate glazing specifications, the adoption of wider openings can result into significant energy savings, lower costs and strong positive effects on patients and staff well-being. The present study investigates how different window sizes and types of glazing affect heating, cooling and lighting energy demand in a hospital patient room. The objective is to evaluate the energy savings that may be obtained when installing larger windows and to identify the glazing properties allowing one to reach the maximum energy reductions. Simulations were carried out using nine diverse glazing systems, already available on the market, and their energy performance was evaluated in relation to two different window areas: a common size opening, characterized by a 25% Window-to-Wall Ratio (WWR), and a floor to ceiling window, with 77% WWR. The analysis was conducted taking into consideration four different orientations in four Italian cities, supposing two artificial lighting control strategies. The results highlighted how the adoption of wider windows with appropriate glazings and a daylight-linked dimming lighting control strategy may lower the primary energy demand up to 17%.

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Section: Resultsmentioning

confidence: 99%

The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions

Cesari

Valdiserri²,

Coccagna³

et al. 2020

Energies

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“…Figure 1 is depicted by using given data of heat outputs and power outputs of a typical cogeneration unit in which the efficiency of the unit cannot be known as observing the figure but its performance can be evaluated by using a fuel cost function. The observation from Figure 1 in [27] and Figure 5 in [28] can indicate that efficiency of the cogeneration unit is complicated for calculation. In fact, the efficiency is directly influenced by thermal efficiency and heat efficiency, and it is also related to power output and heat output.…”

Section: Methodologiesmentioning

confidence: 99%

A Novel Method for Economic Dispatch of Combined Heat and Power Generation

et al. 2018

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The paper proposes a modified Bat algorithm (MBA) for searching optimal solutions of Economic dispatch of combined heat and power generation (CHPGED) with the heat and power generation from three different types of units consisting of pure power generation units, pure heat generation units and cogeneration units. The CHPGED problem becomes complicated and big challenge to optimization tools since it considers both heat and power generation from cogeneration units. Thus, we apply MBA method with the purpose of enhancing high quality solution search ability as well as search speed of conventional Bat algorithm (BA). This proposed approach is established based on three modifications on BA. The first is the adaptive frequency adjustment, the second is the optimal range of updated velocity, and the third is the retained condition of a good solution with objective to ameliorate the search performance of traditional BA. The effectiveness of the proposed approach is evaluated by testing on 7, 24, and 48 units systems and IEEE 14-bus system and comparing results with BA together with other existing methods. As a result, it can conclude that the proposed MBA method is a favorable meta-heuristic algorithm for solving CHPGED problem.Energies 2018, 11, 3113 2 of 27 is a major challenge for the optimization tools for finding optimal solutions satisfying all constraints exactly and reducing total fuel cost effectively.Over several decades, the authors in [2][3][4][5][6][7] have introduced different methods to solve the CHPGED. The Newton [2] and Lagrange relaxation (LR) [3] methods are two of those methods that were first applied to solve the CHPGED issue. However, they have a common main disadvantage of being limited when dealing with a large-scale system. In order to overcome this disadvantage, the authors in [4] have proposed the combined method between the augmented Lagrange and Hopfield network (ALHN). As a result, a very good solution with a short computation time is obtained. In order to reduce the number of iterations and the loop time by speeding up the computation, the authors of [5] have presented the novel direct search (NDS) method based on a successive refinement search technique. The Newton method and other methods such as ALHN and NDS can solve nonlinear constrained optimization problems but Lagrange relaxation (LR) cannot deal with the issue. Thus, ref.[6] has proposed the combination of sequential quadratic programming (SQP) and LR, called SQP-LR method. In the method, SQP could solve nonlinear constraints successfully while LR could find optimal solution satisfying all remaining constraints. Unlike SQP-LR, meta-heuristic algorithms can solve non-linear problems simply and successfully although they do not need to use SQP method. LR with surrogate sub-gradient technique (LR-SST) [7] has been developed by using the main search function of LR and the updating function of SST. LR has also been used for the same purpose as the methods in [3,6] while SST has been used to calculate the values of Lagrange multipliers...

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“…Gimelli et al [180] proposed a novel optimization algorithm for polygeneration systems. Polygeneration is a novel and efficient technology where multiple energy vectors (electricity, heat and cool) can be produced simultaneously along with different types of byproducts (hydrogen, desalinated water, glycerin, etc.)…”

Section: Polygeneration and District Heatingmentioning

confidence: 99%

Recent Advances in the Analysis of Sustainable Energy Systems

et al. 2018

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EU energy policy is more and more promoting a resilient, efficient and sustainable energy system. Several agreements have been signed in the last few months that set ambitious goals in terms of energy efficiency and emission reductions and to reduce the energy consumption in buildings. These actions are expected to fulfill the goals negotiated at the Paris Agreement in 2015. The successful development of this ambitious energy policy needs to be supported by scientific knowledge: a huge effort must be made in order to develop more efficient energy conversion technologies based both on renewables and fossil fuels. Similarly, researchers are also expected to work on the integration of conventional and novel systems, also taking into account the needs for the management of the novel energy systems in terms of energy storage and devices management. Therefore, a multi-disciplinary approach is required in order to achieve these goals. To ensure that the scientists belonging to the different disciplines are aware of the scientific progress in the other research areas, specific Conferences are periodically organized. One of the most popular conferences in this area is the Sustainable Development of Energy, Water and Environment Systems (SDEWES) Series Conference. The 12th Sustainable Development of Energy, Water and Environment Systems Conference was recently held in Dubrovnik, Croatia. The present Special Issue of Energies, specifically dedicated to the 12th SDEWES Conference, is focused on five main fields: energy policy and energy efficiency in smart energy systems, polygeneration and district heating, advanced combustion techniques and fuels, biomass and building efficiency.

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The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems

Cited by 14 publications

References 61 publications

The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions

The Energy Saving Potential of Wide Windows in Hospital Patient Rooms, Optimizing the Type of Glazing and Lighting Control Strategy under Different Climatic Conditions

A Novel Method for Economic Dispatch of Combined Heat and Power Generation

Recent Advances in the Analysis of Sustainable Energy Systems

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