TOWARDS AN INTEGRATED APPROACH FOR RESOURCE-EFFICIENCY IN SERVER ROOMS AND DATA CENTERS

This paper conceptualizes a hybrid package of products and services which ensures the energy efficient planning, realization and operation of IT infrastructure. It follows the well-established procedure model of product-service systems engineering and pursues a qualitative research approach that is based on two industry workshops with more than 60 participants from science and practice and on semi-structured interviews with 8 experts. Based on the findings from the interviews and the workshops, customer requirements to the hybrid package are described, a product model is developed and evaluated. Finally, an application scenario is derived

Chapter Globally Optimised Energy-Efficient Data Centres

A great deal of energy in Information and Communication Technology (ICT) systems can be wasted by software, regardless of how energy-efficient the underlying hardware is. To avoid such waste, programmers need to understand the energy consumption of programs during the development process rather than waiting to measure energy after deployment. Such understanding is hindered by the large conceptual gap from hardware, where energy is consumed, to high-level languages and programming abstractions. The approaches described in this chapter involve two main topics: energy modelling and energy analysis. The purpose of modelling is to attribute energy values to programming constructs, whether at the level of machine instructions, intermediate code or source code. Energy analysis involves inferring the energy consumption of a program from the program semantics along with an energy model. Finally, the chapter discusses how energy analysis and modelling techniques can be incorporated in software engineering tools, including existing compilers, to assist the energy-aware programmer to optimise the energy consumption of code

Globally Optimised Energy-Efficient Data Centres

Data centres are part of today\u27s critical information and communication infrastructure, and the majority of business transactions as well as much of our digital life now depend on them. At the same time, data centres are large primary energy consumers, with energy consumed by IT and server room air conditioning equipment and also by general building facilities. In many data centres, IT equipment energy and cooling energy requirements are not always coordinated, so energy consumption is not optimised. Most data centres lack an integrated energy management system that jointly optimises and controls all its energy consuming equipments in order to reduce energy consumption and increase the usage of local renewable energy sources. In this chapter, the authors discuss the challenges of coordinated energy management in data centres and present a novel scalable, integrated energy management system architecture for data centre wide optimisation. A prototype of the system has been implemented, including joint workload and thermal management algorithms. The control algorithms are evaluated in an accurate simulation‐based model of a real data centre. Results show significant energy savings potential, in some cases up to 40%, by integrating workload and thermal management

Sustainable IT at Intel: A Teaching Case

Sustainable IT involves the responsible management of resources (both IT and non-IT) encompassing environmental, economic, and social dimensions. Sustainable IT has the potential to be a significant contributor to an organizations sustainability strategy. In this teaching case, we examine what Intel IT has done to transform its operations with Sustainable IT, resulting in the avoidance of significant CO2 emissions and cost savings. This teaching case challenges the reader to analyze the Sustainable IT capability at Intel. The case includes insights into strategic and operational challenges of planning and managing Sustainable IT

Towards concepts for climate and energy-oriented digital twins for buildings

Este artículo presenta conceptos y enfoques para crear un gemelo digital orientado al clima y la energía para edificios públicos. El funcionamiento sostenible y eficiente de los recursos de estos edificios, como escuelas y centros educativos, y la monitorización, control y optimización de su clima, aire y rendimiento energético plantean múltiples retos, en particular para hacer frente a las consecuencias del cambio climático y a los cambios en la economía energética. En nuestro planteamiento, consideramos edificios en los que una red de sensores heterogéneos en cada unidad espacial registra propiedades clave como la temperatura, la humedad y la concentración de CO2, así como el consumo de energía y la producción de energía solar. Los datos recogidos continuamente por los sensores forman un espacio de datos espaciotemporal, que el gemelo digital utiliza como base para análisis y simulaciones basados en IA. La transferencia de datos de series temporales en tiempo casi real puede realizarse mediante diferentes bases de datos. Las técnicas de análisis centradas en los datos de series temporales permiten un acceso selectivo a la información y ayudan a identificar acontecimientos excepcionales, patrones recurrentes y la comparación de resultados relacionados con la energía y el clima. Actualmente se está implantando un prototipo de gemelo digital orientado a la energía y el clima en un proyecto gubernamental en Andalucía, España, que abarca unos 430 edificios públicos