scholarly journals Potential Energy, Demand, Emissions, and Cost Savings Distributions for Buildings in a Utility’s Service Area

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 132
Author(s):  
Brett Bass ◽  
Joshua New ◽  
William Copeland
Keyword(s):  
Energy Demand ◽  
Cost Savings ◽  
Business Case ◽  
Service Area ◽  
World City ◽  
Building Stock ◽  
Emissions Reductions ◽  
Simulation And Optimization ◽  
Simulation Based ◽  
Energy Efficient Building

Several companies, universities, and national laboratories are developing urban-scale energy modeling that allows the creation of a digital twin of buildings for the simulation and optimization of real-world, city-sized areas. Prior to simulation-based assessment, a baseline of savings for a set of utility-defined use cases was established to clarify the initial business case for specific energy efficient building technologies. In partnership with a municipal utility, 178,337 OpenStudio and EnergyPlus models of buildings in the utility’s 1400 km2 service area were created, simulated, and assessed with measures for quantifying energy, demand, cost, and emissions reductions of each building. The method of construction and assumptions behind these models is discussed, definitions of example measures are provided, and distribution of savings across the building stock is provided under a maximum technical adoption scenario.

Cutting the Deployment Costs of Physics-Based MPC in Buildings by Simulation-Based Imitation Learning

2020 ◽  
Author(s):  
Jan Drgona ◽  
Lieve Helsen ◽  
Draguna L. Vrabie
Keyword(s):  
Neural Network ◽  
Energy Savings ◽  
Control Policy ◽  
Building Stock ◽  
Simulation Based ◽  
The Neural Networks ◽  
Promising Solution ◽  
Simple Evaluation ◽  
Energy Efficient Building

Abstract It has been shown that model predictive control (MPC) is a promising solution for energy-efficient building operations. However, the deployment of MPC in a large portion of the building stock has not been possible partially because of high installation costs. Every building is unique and requires a tailored MPC solution. The best performing solutions are often based on physics-based modeling, which is, however, computationally expensive and requires dedicated software. A promising direction that tackles this problem is to train a neural network-based optimal control policy to imitate the behavior of physics-based MPC from the simulation data generated offline. The neural networks give control actions that closely approximate those produced by physics-based MPC, but with a fraction of the computational and memory requirements and without the need for licensed software. The main advantage of the proposed approach stems from simple evaluation at execution time, leading to low computational foot-prints and easy deployment on embedded HW platforms. In the case study, we present the energy savings potential of physics-based MPC applied to an office building in Belgium. We demonstrate how neural network approximators can be used to cut the implementation and maintenance costs of MPC deployment without compromising performance. We also critically assess the presented approach by pointing out the remaining challenges and open research questions.

Cash is King - Repurposing Marginal Assets to Reduce Floating LNG CAPEX

2021 ◽  
Author(s):  
Kenneth Shane Tierling
Keyword(s):  
Energy Demand ◽  
Investment Decision ◽  
Renewable Energy Sources ◽  
Cost Savings ◽  
Business Case ◽  
Capital Cost ◽  
Minimum Size ◽  
Energy Prices ◽  
Global Energy ◽  
The Impact

Objective / Scope With renewable energy sources not currently able to move energy around the globe and forming small portions of the total global energy supply, it has fallen upon hydrocarbon sources to form the backbone of global energy movements. Hence, the recent energy demand decline, along with policy, have disproportionately impacted world-wide petroleum and LNG pricing. The impact on Floating LNG has been a heightened demand for capital efficiency, required to achieve final investment decision. A business case specific means of reducing FLNG CAPEX, has been repurposing marginal assets. Starting with a breakdown of the cost components of an FLNG facility, this paper will provide examples of the inclusion of preexisting assets into FLNG projects to reduce capital cost. The paper will wrap up with other opportunities for cost savings, to stimulate thought. Methods, Procedures, Process Floating LNG (FLNG) technologies have been deployed to monetize mid-sized offshore gas reservoirs, avoiding constructing a sub-sea gas pipeline to a land-based LNG facility and export jetty. Containing the processing to an oceanic environment also reduces the impact on indigenous peoples as well as terrestrial flora and fauna. FLNG facilities also have the potential of serving multiple offshore fields over the life of the facility, thereby reducing the minimum size field that can be economically monetized. Interest in FLNG continues, despite the current slump in energy prices, however these challenging times are refocusing efforts on reducing the capital cost of FLNG. This paper will explore recent capital cost trends in LNG, with a focus on floating LNG, examples of realized opportunities to reduce CAPEX, and further scope for reductions. Results, Observations, Conclusions The readers will take-away from this paper a deeper understanding of: Recent trends in CAPEX for LNG, and specifically FLNG Where significant opportunities lie for cost reduction Examples of the reuse and repurposing of marginal assets to reduce cost of FLNG facilities Areas to be explored for future capital reduction Novel / Additive Information This paper pulls together disparate threads into a coherent whole, providing visualization of the trends and examples of realized opportunities.

scholarly journals Assessment of energy-saving potential, associated costs and co-benefits of public buildings in Albania

2020 ◽  
Vol 13 (7) ◽  
pp. 1387-1407
Author(s):  
Aleksandra Novikova ◽  
Zsuzsa Szalay ◽  
Miklós Horváth ◽  
Johannes Becker ◽  
Gjergji Simaku ◽  
...  
Keyword(s):  
Decision Making ◽  
Energy Saving ◽  
Energy Demand ◽  
Energy Savings ◽  
Cost Savings ◽  
Energy Performance ◽  
Costs And Benefits ◽  
Building Stock ◽  
Public Building ◽  
The Public

Abstract The paper presents the public building typology, energy demand estimations and retrofit scenarios, as well as associated costs and benefits for energy-saving measures in the public building stock of Albania. First, representative building types were identified to estimate their energy performance, and define retrofit packages. Second, this information was used to analyse the costs and benefits of the different thermal efficiency retrofits. Apart from specific benefits due to cost savings in the use phase, co-benefits were estimated to understand their dimension and influence on decision-making. Finally, energy efficiency supply curves were developed to show the priority sequence of retrofits and building types. It was found that due to the growing wealth in Albania, user behaviour will change a lot in the future. Energy usage in the public building sector will increase and mitigate savings resulting from energy-saving measures making saved energy costs invisible. However, if other benefits beyond energy savings are considered, the cost efficiency of the measures remain obvious. The recommended approach can be used to assist decision-making and allocate funds.

scholarly journals Assessment of decarbonisation scenarios for the residential buildings of Serbia

2018 ◽  
Vol 22 (Suppl. 4) ◽  
pp. 1231-1247
Author(s):  
Aleksandra Novikova ◽  
Tamas Csoknyai ◽  
Milica Jovanovic-Popovic ◽  
Bojana Stankovic ◽  
Zsuzsa Szalay
Keyword(s):  
Thermal Energy ◽  
Energy Demand ◽  
Residential Buildings ◽  
Cost Savings ◽  
Residential Building ◽  
Building Stock ◽  
Detailed Model ◽  
Residential Building Stock ◽  
Business As Usual ◽  
Energy Balances

Thermal energy demand in the residential building sector represents a big challenge for Serbia. In order to understand how to reduce this demand, and thereby avoiding GHG gas emissions, a bottom-up simulation model was developed. The model built the business-as-usual and two decarbonization scenarios up to 2030. For each scenario, such results as useful and final energy consumption, associated CO2 emissions, energy costs, investment costs and others were prepared at each level of the building stock segmentation. To develop such a detailed model, the topology of the residential building stock was developed and used as an input. For each individual building type, three retrofit packages of different stringency were analyzed. The paper delivers several important messages for the decarbonization of Serbia. First, it argues that the level of thermal energy services consumed by Serbian households is inadequate to address their needs. Second, the households of Serbia are likely to consume more wood than it was reported by national energy balances. Third, thermal energy efficiency retrofits can significantly reduce household energy demand at the same time as offering higher thermal comfort. However, the required investments are high and therefore benefits beyond energy cost savings should also be considered in order to make the transition to the low energy building stock economically feasible. <br><br><font color="red"><b> This article has been corrected. Link to the correction <u><a href="http://dx.doi.org/10.2298/TSCI181228017E">10.2298/TSCI181228017E</a><u></b></font>

scholarly journals Experimental Data and Simulations of Performance and Thermal Comfort in a Typical Mediterranean House

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3311
Author(s):  
Víctor Pérez-Andreu ◽  
Carolina Aparicio-Fernández ◽  
José-Luis Vivancos ◽  
Javier Cárcel-Carrasco
Keyword(s):  
Energy Efficiency ◽  
Thermal Comfort ◽  
Energy Demand ◽  
Natural Ventilation ◽  
Thermal Characterization ◽  
Energy Performance ◽  
Building Stock ◽  
Energy Demands ◽  
Dwelling House ◽  
Account Standard

The number of buildings renovated following the introduction of European energy-efficiency policy represents a small number of buildings in Spain. So, the main Spanish building stock needs an urgent energy renovation. Using passive strategies is essential, and thermal characterization and predictive tests of the energy-efficiency improvements achieving acceptable levels of comfort for their users are urgently necessary. This study analyzes the energy performance and thermal comfort of the users in a typical Mediterranean dwelling house. A transient simulation has been used to acquire the scope of Spanish standards for its energy rehabilitation, taking into account standard comfort conditions. The work is based on thermal monitoring of the building and a numerical validated model developed in TRNSYS. Energy demands for different models have been calculated considering different passive constructive measures combined with real wind site conditions and the behavior of users related to natural ventilation. This methodology has given us the necessary information to decide the best solution in relation to energy demand and facility of implementation. The thermal comfort for different models is not directly related to energy demand and has allowed checking when and where the measures need to be done.

scholarly journals Decentral Energy Generation Potential of Anaerobic Digestion of Black Water and Kitchen Refuse for Eco-District Planning

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2948
Author(s):  
Soufia Mohammadi ◽  
Pilar Monsalvete Álvarez de Uribarri ◽  
Ursula Eicker
Keyword(s):  
Experimental Data ◽  
Anaerobic Digestion ◽  
Energy Demand ◽  
Alternative Energy ◽  
Organic Substrate ◽  
Mass Balances ◽  
Waste Streams ◽  
Black Water ◽  
Alternative Energy Source ◽  
Simulation Based

Biogas technology is an important alternative energy source worldwide. Blackwater and kitchen refuse represent ideal waste streams for bioenergy recovery through anaerobic co-digestion. Modeling of the biokinetics of anaerobic digestion on several aspects, such as microbial activity, substrate degradation, and methane production, from co-digestion of black water (BW) and kitchen refuse (KR) was the objective of this research. A mathematical model was developed towards a simulation based on mass balances on biomass, the organic substrate, and biogas. The model was implemented in INSEL and experimental data from the literature were used for model validation. The study shows that the simulation results fit well with the experimental data. The energy consumption and generation potential of anaerobic co-digestion of BW and KR were calculated to investigate if the produced biogas could supply the digester’s energy demand. This study can be used to pre-design anaerobic digestion systems in eco-districts.

scholarly journals Multi-Country Analysis on Energy Savings in Buildings by Means of a Micro-Solar Organic Rankine Cycle System: A Simulation Study

Environments ◽  
2018 ◽  
Vol 5 (11) ◽  
pp. 119 ◽  
Author(s):  
Alessia Arteconi ◽  
Luca Del Zotto ◽  
Roberto Tascioni ◽  
Khamid Mahkamov ◽  
Chris Underwood ◽  
...  
Keyword(s):  
Thermal Energy ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Savings ◽  
Organic Rankine Cycle ◽  
Cost Savings ◽  
Rankine Cycle ◽  
Primary Energy ◽  
Operational Cost ◽  
The North

In this paper, the smart management of buildings energy use by means of an innovative renewable micro-cogeneration system is investigated. The system consists of a concentrated linear Fresnel reflectors solar field coupled with a phase change material thermal energy storage tank and a 2 kWe/18 kWth organic Rankine cycle (ORC) system. The microsolar ORC was designed to supply both electricity and thermal energy demand to residential dwellings to reduce their primary energy use. In this analysis, the achievable energy and operational cost savings through the proposed plant with respect to traditional technologies (i.e., condensing boilers and electricity grid) were assessed by means of simulations. The influence of the climate and latitude of the installation was taken into account to assess the performance and the potential of such system across Europe and specifically in Spain, Italy, France, Germany, U.K., and Sweden. Results show that the proposed plant can satisfy about 80% of the overall energy demand of a 100 m2 dwelling in southern Europe, while the energy demand coverage drops to 34% in the worst scenario in northern Europe. The corresponding operational cost savings amount to 87% for a dwelling in the south and at 33% for one in the north.

scholarly journals LIFE CYCLE ASSESSMENT OF TECHNICAL BUILDING SERVICES OF LARGE RESIDENTIAL BUILDING STOCKS USING SEMANTIC 3D CITY MODELS

2020 ◽  
Vol VI-4/W1-2020 ◽  
pp. 85-92
Author(s):  
H. Harter ◽  
B. Willenborg ◽  
W. Lang ◽  
T. H. Kolbe
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Demand ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Stock ◽  
3D City Models ◽  
Methodical Approach ◽  
Operational Energy ◽  
City Models

Abstract. Reducing the demand for non-renewable resources and the resulting environmental impact is an objective of sustainable development, to which buildings contribute significantly. In order to realize the goal of reaching a climate-neutral building stock, it must first be analyzed and evaluated in order to develop optimization strategies. The life cycle based consideration and assessment of buildings plays a key role in this process. Approaches and tools already exist for this purpose, but they mainly take the operational energy demand of buildings and not a life cycle based approach into account, especially when assessing technical building services (TBS). Therefore, this paper presents and applies a methodical approach for the life cycle based assessment of the TBS of large residential building stocks, based on semantic 3D city models (CityGML). The methodical approach developed for this purpose describes the procedure for calculating the operational energy demand (already validated) and the heating load of the building, the dimensioning of the TBS components and the calculation of the life cycle assessment. The application of the methodology is illustrated in a case study with over 115,000 residential buildings from Munich, Germany. The study shows that the methodology calculates reliable results and that a significant reduction of the life cycle based energy demand can be achieved by refurbishment measures/scenarios. Nevertheless, the goal of achieving a climate-neutral building stock is a challenge from a life cycle perspective.

scholarly journals Urban energy performance calculation based on EPBD standards. GIS4ENER tool

2020 ◽  
Author(s):  
Gema Hernandez-Moral ◽  
◽  
Víctor Iván Serna-Gonzalez ◽  
Francisco Javier Miguel Herrero ◽  
César Valmaseda-Tranque
Keyword(s):  
Energy Demand ◽  
Planning Process ◽  
Energy Performance ◽  
Local Scale ◽  
Decision Makers ◽  
Energy Planning ◽  
Strong Impact ◽  
Building Stock ◽  
Urban Energy ◽  
Performance Calculation

Climate change will have a strong impact on urban settings, which will also represent one of the major challenges (world’s urban population is expected to double by 2050, EU buildings consume 40% final energy and generate 36% CO2 emissions). A plethora of initiatives address this challenge by stressing the underlying necessity of thinking globally but acting locally. This entails the inclusion of a varied set of decision-makers acting at different scales and needing robust, comprehensive and comparable information that can support them in their energy planning process. To this end, this paper presents the GIS4ENER tool to support energy planners at different scales by proposing a bottom-up approach towards the calculation of energy demand and consumption at local scale that can be aggregated to support other decision-making scales. It is based on three main pillars: the exploitation of publicly available data (such as Open Street Maps, Building Stock Observatory or TABULA), the implementation of standardised methods to calculate energy (in particular the ISO52000 family) and the use of Geographic Information Systems to represent and facilitate the understanding of results, and their aggregation. The paper presents the context, main differences with other approaches and results of the tool in Osimo (IT).

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