ZEMCH International Research 2020

Globally, record weather temperatures and changing climatic patterns, attributed partly to energy use and related carbon dioxide (CO2) emissions, indicate that the issue of global warming cannot be marginalized. In most countries buildings account for a significant share of the total final energy consumed and are responsible for associated CO2 emissions. In response to market needs and demands for social, economic, and environmental sustainability of housing in developed and developing countries, the Zero-Energy Mass Custom Home (ZEMCH), integrating lean design and sustainable construction concepts, was envisaged and discussed internationally. To deliver a marketable and reliable near-zero-energy/emission-conscious mass custom home, various key design, technological, production and marketing, and delivery and operational parameters need to be optimized harmoniously. This book compiles recent research articles of ZEMCH International Research 2020. A wide range of ZEMCH topics, including building envelope evaluations, occupant choice and experience, indoor environmental quality, automated control systems, mass customization, and integration of renewable energy, on both building and urban scales are covered. It aims to address current questions as well as present challenges and opportunities for continuous development of built environments for users with diverse socio-economic backgrounds and cultural differences in developed and developing countries

iCity. Transformative Research for the Livable, Intelligent, and Sustainable City

This open access book presents the exciting research results of the BMBF funded project iCity carried out at University of Applied Science Stuttgart to help cities to become more liveable, intelligent and sustainable, to become a LIScity. The research has been pursued with industry partners and NGOs from 2017 to 2020. A LIScity is increasingly digitally networked, uses resources efficiently, and implements intelligent mobility concepts. It guarantees the supply of its grid-bound infrastructure with a high proportion of renewable energy. Intelligent cities are increasingly human-centered, integrative, and flexible, thus placing the well-being of the citizens at the center of developments to increase the quality of life. The articles in this book cover research aimed to meet these criteria. The book covers research in the fields of energy (i.e. algorithms for heating and energy storage systems, simulation programs for thermal local heating supply, runtime optimization of combined heat and power (CHP), natural ventilation), mobility (i.e. charging distribution and deep learning, innovative emission-friendly mobility, routing apps, zero-emission urban logistics, augmented reality, artificial intelligence for individual route planning, mobility behavior), information platforms (i.e. 3DCity models in city planning: sunny places visualization, augmented reality for windy cities, internet of things (IoT) monitoring to visualize device performance, storing and visualizing dynamic energy data of smart cities), and buildings and city planning (i.e. sound insulation of sustainable facades and balconies, multi-camera mobile systems for inspection of tunnels, building-integrated photovoltaics (BIPV) as active façade elements, common space, the building envelopes potential in smart sustainable cities)

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective

Data-driven decision making is becoming an integral part of manufacturing companies. Data is collected and commonly used to improve efficiency and produce high quality items for the customers. IoT-based and other forms of object tracking are an emerging tool for collecting movement data of objects/entities (e.g. human workers, moving vehicles, trolleys etc.) over space and time. Movement data can provide valuable insights like process bottlenecks, resource utilization, effective working time etc. that can be used for decision making and improving efficiency. Turning movement data into valuable information for industrial management and decision making requires analysis methods. We refer to this process as movement analytics. The purpose of this document is to review the current state of work for movement analytics both in manufacturing and more broadly. We survey relevant work from both a theoretical perspective and an application perspective. From the theoretical perspective, we put an emphasis on useful methods from two research areas: machine learning, and logic-based knowledge representation. We also review their combinations in view of movement analytics, and we discuss promising areas for future development and application. Furthermore, we touch on constraint optimization. From an application perspective, we review applications of these methods to movement analytics in a general sense and across various industries. We also describe currently available commercial off-the-shelf products for tracking in manufacturing, and we overview main concepts of digital twins and their applications

iCity. Transformative Research for the Livable, Intelligent, and Sustainable City

This open access book presents the exciting research results of the BMBF funded project iCity carried out at University of Applied Science Stuttgart to help cities to become more liveable, intelligent and sustainable, to become a LIScity. The research has been pursued with industry partners and NGOs from 2017 to 2020. A LIScity is increasingly digitally networked, uses resources efficiently, and implements intelligent mobility concepts. It guarantees the supply of its grid-bound infrastructure with a high proportion of renewable energy. Intelligent cities are increasingly human-centered, integrative, and flexible, thus placing the well-being of the citizens at the center of developments to increase the quality of life. The articles in this book cover research aimed to meet these criteria. The book covers research in the fields of energy (i.e. algorithms for heating and energy storage systems, simulation programs for thermal local heating supply, runtime optimization of combined heat and power (CHP), natural ventilation), mobility (i.e. charging distribution and deep learning, innovative emission-friendly mobility, routing apps, zero-emission urban logistics, augmented reality, artificial intelligence for individual route planning, mobility behavior), information platforms (i.e. 3DCity models in city planning: sunny places visualization, augmented reality for windy cities, internet of things (IoT) monitoring to visualize device performance, storing and visualizing dynamic energy data of smart cities), and buildings and city planning (i.e. sound insulation of sustainable facades and balconies, multi-camera mobile systems for inspection of tunnels, building-integrated photovoltaics (BIPV) as active façade elements, common space, the building envelopes potential in smart sustainable cities)

Thermal Behaviour, Energy Efficiency in Buildings and Sustainable Construction

This Special Issue includes 20 contributions from across the world with very interesting and current research topics, such as insulation solutions and CO2 emissions; thermal transmittance of LSF walls; statistics for China’s building energy consumption; natural ventilation; thermal behavior of an earthbag building; thermal performance and comfort in a vernacular building; overheating risk under future extreme weather conditions; analytical methods to estimate the thermal transmittance of LSF walls; model simplification on energy and comfort simulation analysis; Trombe wall thermal behavior and energy efficiency of an LSF compartment; new metering hot box for in situ hygrothermal measurement; mechanical and thermal performance of compressed earth blocks; life-cycle assessment of a new house; energy analyses of Serbian buildings with horizontal overhangs; thermal properties of mortar blocks by using recycled glass; prediction of cooling energy consumption building using machine learning techniques; occupants’ behavior, climate change, heating, and cooling energy needs of buildings; a new method for establishing a hygrothermally controlled test room; nonintrusive measurements to incorporate the air renovations in dynamic models; and retrofit of existing buildings with aerogel panels

Sustainable Assessment in Supply Chain and Infrastructure Management

In the competitive business environment or public domain, the sustainability assessment in supply chain and infrastructure management are important for any organization. Organizations are currently striving to improve their sustainable strategies through preparedness, response, and recovery because of increasing competitiveness, community, and regulatory pressure. Thus, it is necessary to develop a meaningful and more focused understanding of sustainability in supply chain management and infrastructure management practices. In the context of a supply chain, sustainability implies that companies identify, assess, and manage impacts and risks in all the echelons of the supply chain, considering downstream and upstream activities. Similarly, the sustainable infrastructure management indicates the ability of infrastructure to meet the requirements of the present without sacrificing the ability of future generations to address their needs. The complexities regarding sustainable supply chain and infrastructure management have driven managers and professionals to seek different solutions. This Special Issue aims to provide readers with the most recent research results on the aforementioned subjects. In addition, it offers some solutions and also raises some questions for further research and development toward sustainable supply chain and infrastructure management

The 9th International Conference on Sustainable Development

The International Conference on Sustainable Development (ICSD) was held virtually on September 20-21, 2021, with the conference theme “Research for Impact: A Sustainable and Inclusive Planet.” ICSD provides a forum for academia, government, civil society, UN agencies, and the private sector to come together to share practical solutions to achieve Sustainable Development Goals (SDGs). The two-day conference hosted 49 different sessions across multiple time zones to accommodate the global audience, with 204 oral presenters, 239 poster presenters, and 977 total authors

Increasing the efficacy of automated instruction set extension

The use of Instruction Set Extension (ISE) in customising embedded processors for a specific application has been studied extensively in recent years. The addition of a set of complex arithmetic instructions to a baseline core has proven to be a cost-effective means of meeting design performance requirements. This thesis proposes and evaluates a reconfigurable ISE implementation called “Configurable Flow Accelerators” (CFAs), a number of refinements to an existing Automated ISE (AISE) algorithm called “ISEGEN”, and the effects of source form on AISE. The CFA is demonstrated repeatedly to be a cost-effective design for ISE implementation. A temporal partitioning algorithm called “staggering” is proposed and demonstrated on average to reduce the area of CFA implementation by 37% for only an 8% reduction in acceleration. This thesis then turns to concerns within the ISEGEN AISE algorithm. A methodology for finding a good static heuristic weighting vector for ISEGEN is proposed and demonstrated. Up to 100% of merit is shown to be lost or gained through the choice of vector. ISEGEN early-termination is introduced and shown to improve the runtime of the algorithm by up to 7.26x, and 5.82x on average. An extension to the ISEGEN heuristic to account for pipelining is proposed and evaluated, increasing acceleration by up to an additional 1.5x. An energyaware heuristic is added to ISEGEN, which reduces the energy used by a CFA implementation of a set of ISEs by an average of 1.6x, up to 3.6x. This result directly contradicts the frequently espoused notion that “bigger is better” in ISE. The last stretch of work in this thesis is concerned with source-level transformation: the effect of changing the representation of the application on the quality of the combined hardwaresoftware solution. A methodology for combined exploration of source transformation and ISE is presented, and demonstrated to improve the acceleration of the result by an average of 35% versus ISE alone. Floating point is demonstrated to perform worse than fixed point, for all design concerns and applications studied here, regardless of ISEs employed

Renewable Energy

The demand for secure, affordable and clean energy is a priority call to humanity. Challenges associated with conventional energy resources, such as depletion of fossil fuels, high costs and associated greenhouse gas emissions, have stimulated interests in renewable energy resources. For instance, there have been clear gaps and rushed thoughts about replacing fossil-fuel driven engines with electric vehicles without long-term plans for energy security and recycling approaches. This book aims to provide a clear vision to scientists, industrialists and policy makers on renewable energy resources, predicted challenges and emerging applications. It can be used to help produce new technologies for sustainable, connected and harvested energy. A clear response to economic growth and clean environment demands is also illustrated