scholarly journals Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2946
Author(s):  
Dacian I. Jurj ◽  
Levente Czumbil ◽  
Bogdan Bârgăuan ◽  
Andrei Ceclan ◽  
Alexis Polycarpou ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Demand Response ◽  
Business Models ◽  
Energy Savings ◽  
Data Cleaning ◽  
Cost Savings ◽  
Electrical Energy ◽  
Pilot Project ◽  
Original Data ◽  
The Impact

The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection with detected anomalies. A numerical algorithm was created to differentiate between natural energy peaks and outliers, so as to first apply a data cleaning. Then, a calculation of the impact in the energy baseline for the demand response computation was implemented, with improved precision, as related to other referenced methods and to the original data processing. For the demo pilot project implemented in the Technical University of Cluj-Napoca block of buildings, without the energy baseline data cleaning, in some cases it was impossible to compute the established key performance indicators (peak power reduction, energy savings, cost savings, CO2 emissions reduction) or the resulted values were far much higher (>50%) and not realistic. Therefore, in real case business models, it is crucial to use outlier’s removal. In the past years, both companies and academic communities pulled their efforts in generating input that consist in new abstractions, interfaces, approaches for scalability, and crowdsourcing techniques. Quantitative and qualitative methods were created with the scope of error reduction and were covered in multiple surveys and overviews to cope with outlier detection.

Analysis of Daylighting Benefits for Office Buildings in Egypt

Solar Energy ◽  
2004 ◽  
Author(s):  
Mostafa Abd El Mohimen ◽  
George Hanna ◽  
Moncef Krarti
Keyword(s):  
Energy Savings ◽  
Simulation Analysis ◽  
Window Size ◽  
Electrical Energy ◽  
Office Buildings ◽  
Wall Area ◽  
Electricity Use ◽  
Daylighting Control ◽  
The Impact ◽  
Geographical Locations

This paper summarizes the results of a simulation analysis to determine the effectiveness of daylighting in reducing electrical energy consumption for office buildings in Egypt. Specifically, the impact on daylighting performance is investigated of window size, building size, daylighting control, and glazing type for three geographical locations in Egypt. It was determined that a window to wall area ratio of 0.20 minimizes the total annual electricity use for office buildings in three Egyptian locations, Cairo, Alexandria, and Aswan. A simplified analysis method is developed based on the analysis results to estimate the annual electrical energy savings attributed to daylighting.

Analysis of Electrical Energy Savings From Daylighting Through Skylights

Solar Energy ◽  
2005 ◽  
Author(s):  
Abdelkarim Nemri ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Energy Savings ◽  
Simulation Analysis ◽  
Control Strategies ◽  
Electrical Energy ◽  
Office Building ◽  
Analysis Tool ◽  
Energy Saving Potential ◽  
Lighting Energy ◽  
The Impact

This paper provides a simplified analysis tool to assess the energy saving potential of daylighting for commercial buildings through skylights. Specifically, the impact of daylighting is investigated for various fenestration opening sizes, glazing types, control strategies, and geographic locations. A top floor of a prototypical office building has been considered in the analysis. The results obtained for the office building can be applied to other types of buildings such as retails stores, schools, and warehouses. Based on the simulation analysis results, it was determined that skylight to floor ratio more than 0.3 does not affect significantly the lighting energy savings. An optimum value of skylight to floor area ratio was found to be 0.2 to minimize the annual total building energy use.

scholarly journals A robust data cleaning procedure for eddy covariance flux measurements

2020 ◽  
Vol 17 (6) ◽  
pp. 1367-1391
Author(s):  
Domenico Vitale ◽  
Gerardo Fratini ◽  
Massimo Bilancia ◽  
Giacomo Nicolini ◽  
Simone Sabbatini ◽  
...  
Keyword(s):  
Systematic Error ◽  
Eddy Covariance ◽  
Outlier Detection ◽  
Stochastic Dynamics ◽  
Data Cleaning ◽  
Observation System ◽  
Correct Identification ◽  
Cleaning Procedure ◽  
Flux Data ◽  
The Impact

Abstract. The sources of systematic error responsible for introducing significant biases in the eddy covariance (EC) flux computation are manifold, and their correct identification is made difficult by the lack of reference values, by the complex stochastic dynamics, and by the high level of noise characterizing raw data. This work contributes to overcoming such challenges by introducing an innovative strategy for EC data cleaning. The proposed strategy includes a set of tests aimed at detecting the presence of specific sources of systematic error, as well as an outlier detection procedure aimed at identifying aberrant flux values. Results from tests and outlier detection are integrated in such a way as to leave a large degree of flexibility in the choice of tests and of test threshold values, ensuring scalability of the whole process. The selection of best performing tests was carried out by means of Monte Carlo experiments, whereas the impact on real data was evaluated on data distributed by the Integrated Carbon Observation System (ICOS) research infrastructure. Results evidenced that the proposed procedure leads to an effective cleaning of EC flux data, avoiding the use of subjective criteria in the decision rule that specifies whether to retain or reject flux data of dubious quality. We expect that the proposed data cleaning procedure can serve as a basis towards a unified quality control strategy for EC datasets, in particular in centralized data processing pipelines where the use of robust and automated routines ensuring results reproducibility constitutes an essential prerequisite.

scholarly journals Motivations for servitization: the impact of product complexity

2016 ◽  
Vol 36 (5) ◽  
Author(s):  
Chris Raddats ◽  
Tim Baines ◽  
Jamie Burton ◽  
Vicky Mary Story ◽  
Judy Zolkiewski
Keyword(s):  
Product Differentiation ◽  
Design Methodology ◽  
Business Models ◽  
Cost Savings ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Business Transformation ◽  
The Impact ◽  
Practical Implications

Purpose To identify the commonalities and differences in manufacturers’ motivations to servitize. Design/methodology/approach UK study based on interviews with 40 managers in 25 companies in 12 sectors. Using the concept of product complexity, sectors were grouped using the Complex Products and Systems (CoPS) typology: non-complex products, complex products, and systems. Findings Motivations to servitize were categorised as competitive, demand-based (i.e., derived from the customer) or economic. Motivations to servitize vary according to product complexity, although cost savings and improved service quality appear important demand-based motivations for all manufacturers. Non-complex product manufacturers also focus on services to help product differentiation. For CoPS manufacturers, both risk reduction and developing a new revenue stream were important motivations. For uniquely complex product manufacturers, stabilising revenue and increased profitability were strong motivations. For uniquely systems manufacturers, customers sought business transformation, whilst new service business models were also identified. Research limitations/implications Using the CoPS typology, this study delineates motivations to servitize by sector. The findings show varying motivations to servitize as product complexity increases, although some motivational commonality existed across all groups. Manufacturers may have products of differing complexity within their portfolio. To overcome this limitation the unit of analysis was the SBU. Practical implications Managers can reflect on and benchmark their motivation for, and opportunities from, servitization, by considering product complexity. Originality/value The first study to categorise servitization motivations by product complexity. Identifying that some customers of systems manufacturers seek business transformation through outsourcing.

Analysis of Daylighting Benefits for Office Buildings in Egypt

2004 ◽  
Vol 127 (3) ◽  
pp. 366-370 ◽  
Author(s):  
Mostafa Abd El Mohimen ◽  
George Hanna ◽  
Moncef Krarti
Keyword(s):  
Energy Savings ◽  
Simulation Analysis ◽  
Window Size ◽  
Electrical Energy ◽  
Office Buildings ◽  
Wall Area ◽  
Electricity Use ◽  
Daylighting Control ◽  
The Impact ◽  
Geographical Locations

This paper summarizes the results of a simulation analysis to determine the effectiveness of daylighting in reducing electrical energy consumption for office buildings in Egypt. Specifically, the impact on daylighting performance is investigated of window size, building size, daylighting control, and glazing type for three geographical locations in Egypt. It was determined that a window to wall area ratio of 0.20 minimizes the total annual electricity use for office buildings in three Egyptian locations, Cairo, Alexandria, and Aswan. A simplified analysis method is developed based on the analysis results to estimate the annual electrical energy savings attributed to daylighting.

scholarly journals A BPM-based framework for the impact assessment of blockchain to the midstream LNG supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dimitrios V. Lyridis ◽  
Georgios O. Andreadis ◽  
Christos Papaleonidas ◽  
Violetta Tsiampa
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Business Processes ◽  
Low Cost ◽  
Cost Savings ◽  
Sensitive Information ◽  
Management Tools ◽  
Content Type ◽  
Shipping Company ◽  
The Impact

PurposeThe current study addresses how blockchain can deal with the challenges that the midstream liquefied natural gas (LNG) supply chain poses combined from a management standpoint. Such challenges are: the volume of transactions, communication hurdles and the lack of contemporary management tools. The paper proposes a comprehensive framework to assess the impact of blockchain implementation in the midstream LNG supply chain in order to tackle those barriers.Design/methodology/approachThe basis of the research is the business process modelling (BPM), through which entities, roles, tasks, resources and transactions can be modelled and simulated. The modelling of the midstream LNG supply chain, via BPM, is based on guidelines of the Society of International Gas Tanker and Terminal Operators (SIGGTO) and common industry business models. A quantitative analysis is employed to support the motivation and the potential impact of blockchain implementation. The methodology is used to identify (1) inefficiencies related to large volume of transactions between stakeholders and (2) critical areas of an LNG shipping company, where blockchain can be implemented.FindingsProcess repeatability, numerous shared documentation forms, excessive paperwork and communication imbroglios are mapped from the modelling section. Up to 327 processes are repeated during a typical vessel voyage, and up to 122 shared documentation forms are exchanged. Excessive paperwork and communication imbroglios are tracked through, which correspond to 25 severe errors as detected. By implementing the methodology, stakeholders can quantify the possible impact of blockchain on the operational performance of each stakeholder's operations separately and the supply chain as a whole in terms of real-time monitoring, transparency and paperwork reduction, time and cost savings.Research limitations/implicationsThe research has certain limitations deriving from its conceptual nature. The business processes' modelling is based on standard procedures described in the guidelines by SIGGTO and may need further adjustment for specific use cases. A structured case study has not been realisable as corporate data for an LNG shipping company regarding processes and other commercial sensitive information are required.Practical implicationsPotential practitioners may exploit the proposed framework as a low cost and seamless tool to evaluate how blockchain could disrupt their operations. Thus, the blockchain implementation's improvements or weaknesses can be pinpointed, and enabling the interested stakeholder of the LNG supply chain with specific feedback, it can guide them towards informed decisions on their operations.Originality/valueThe research has a novel approach as it combines the creation of practical management framework, with a comprehensive visualization of the midstream LNG supply chain. Thus, the reader can identify in which parts of the midstream LNG supply chain can blockchain be implemented, and what impact it could have in terms of supply chain operations.

scholarly journals Reducing The Energy Consumption By Using Floor Heating With Phase Change Materials In The Toronto Climate

2021 ◽  
Author(s):  
Lindsay Fialkov
Keyword(s):  
Energy Consumption ◽  
Phase Change ◽  
Phase Change Materials ◽  
Energy Savings ◽  
Cost Savings ◽  
Heating System ◽  
Radiant Floor Heating System ◽  
The Cost ◽  
The Impact ◽  
Floor Heating

This major research project focuses on reducing the energy consumption, by modelling a radiant floor heating system with phase change materials, in the Toronto climate. Computer generated simulations were performed using DesignBuilder software, using an example of a typical condominium in Toronto .Two south facing suites and two north facing suites were investigated. Of those suites, one north facing suite had PCM below the finished floor, as well as one south facing suite. The objective of these simulations was to determine the impact of using PCM in the condo suites. Three different types of PCM were used, in order to determine which type had the biggest energy savings. The PCMs were M91/Q21, M51/Q21 and M27/Q21. The final results showed that the suites with the M27/Q21 PCM had the lowest energy usage. A cost savings comparison was performed based on the rate of energy used and the cost of the energy, provided by the Ontario Energy Board.

scholarly journals Building energy simulations for different building types equipped with a high performance thermochromic smart window

2021 ◽  
Vol 855 (1) ◽  
pp. 012001
Author(s):  
D Mann ◽  
C Yeung ◽  
R Habets ◽  
Z Vroon ◽  
P Buskens
Keyword(s):  
Energy Consumption ◽  
Annual Cost ◽  
High Performance ◽  
Energy Savings ◽  
Cost Savings ◽  
Residential Building ◽  
Building Energy ◽  
Smart Window ◽  
Smart Windows ◽  
The Impact

Abstract With constantly progressing climate change and global warming, we face the challenge to reduce our energy consumption and CO2 emission. To increase the energy-efficiency in buildings, we developed a thermochromic coating for smart windows which is optimized for intermediate climates. Here we present a building energy simulation study for the use of our smart window in the four main residential building types in the Netherlands. In the study we show that for all building types energy savings between 15-30% can be achieved. Hereby the impact of the windows on energy consumption is dependent on the window surface area as well as the total floor space. Furthermore we show that by the use of our new smart window, where the thermochromic coating is combined with a standard low-e coating, annual cost savings for energy between 220-445 € for a single household can be achieved. The thermochromic coating usually accounts for half of these cost savings, that is an addition in cost savings between 6-7.5 €/m2 glass. Due to the low material and processing costs for the thermochromic coating, a return on invest within 7 years should be feasible with these annual cost savings.

scholarly journals The impact of the collaborative robot on competitive priorities: case study of an automotive supplier

2020 ◽  
Vol 27 (4) ◽  
Author(s):  
Marcos Vido ◽  
Gabriela Scur ◽  
Alexandre Augusto Massote ◽  
Fábio Lima
Keyword(s):  
Business Models ◽  
Hybrid Cell ◽  
Cost Savings ◽  
Work Conditions ◽  
Industrial Robots ◽  
Disruptive Effect ◽  
Global Business ◽  
Competitive Priorities ◽  
Use Of Resources ◽  
The Impact

Abstract: The literature on operations strategies has extensively addressed the notion that competitive priorities and structural decisions should be aligned to create, develop, and maintain competitive advantages. However, the speed and scale of new manufacturing technologies are modifying an organization’s strategies and manufacturing capabilities to address new market requirements, competition, and new entrants. Advances in robotics are poised to change the global business landscape and to support organizations in improving upon their operations strategies. Industrial robots usually help improve product quality and provide better work conditions to limit the use of resources, resulting in cost savings. One of the main trends in robotics is that of human-robot collaboration (HRC), which influences operations strategies and which can have a disruptive effect on business models and market structures. The aim of this paper is to explore and understand the relationship between the competitive priorities (quality, cost, flexibility, and delivery) of classical operations and the competitive advantage of adopting HRC for a Brazilian automotive parts supplier. The results indicate that the hybrid cell (U-shaped manufacturing cell) fully adheres to cost and dependability priorities and partially adheres to quality and flexibility priorities.

scholarly journals Impact of Energy Measurements in Machining Operations

2010 ◽  
Author(s):  
Minna Lanz ◽  
Mahesh Mani ◽  
Swee Leong ◽  
Kevin Lyons ◽  
Ari Ranta ◽  
...  
Keyword(s):  
Case Studies ◽  
Energy Savings ◽  
Sustainable Manufacturing ◽  
Cost Savings ◽  
Performance Outcomes ◽  
Cnc Machining ◽  
Numerical Control ◽  
Main Question ◽  
Potential Cost ◽  
The Impact

Over the past years, institutions in general are increasingly interested and involved in sustainability and social responsibility. In addition, social and political pressures have led to the creation of new regulations and policies that support new business opportunities around global sustainability. Considering sustainable manufacturing, a number of indicators have been proposed and currently being researched. The aim of this paper is to explore and discuss the impact of energy measurements as an indicator for sustainable manufacturing. The main question to be asked is, can energy measurement be used for optimization the machining level process. Based on energy monitoring during two Computer Numerical Control (CNC) machining case studies, the significance of energy cost based on different CNC machining strategies and parameter settings is examined and discussed. The preliminary results from the energy measurements on the case studies indicate that potential cost savings in energy will be minimal in CNC operations. Based on the case studies, the potential energy savings in monetary value do not necessarily justify a company’s investment in implementing real time energy tracking technologies; however the results were limited in scope with regards measuring energy as an indicator for evaluating other performance outcomes.

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