عنوان

Energy optimization and prediction in office buildings :

شابک

331990146X

شابک

9783319901466

شابک اشتباه

3319901451

شابک اشتباه

9783319901459

عنوان اصلي

Energy optimization and prediction in office buildings :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a case study of office building design in Chile /

نام نخستين پديدآور

Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource

عنوان فروست

SpringerBriefs in energy,

شاپا ي ISSN فروست

2191-5520

متن يادداشت

Includes bibliographical references.

متن يادداشت

Intro; Contents; Symbols and Abbreviations; 1 Introduction; 1.1 Energy in Buildings; 1.2 Office Sector in Chile; 1.3 Legal Framework and Energy Services; References; 2 Research Method; 2.1 Introduction; 2.2 Calculation Procedure; 2.2.1 Internal and External Loads; 2.2.2 Heat Balance; 2.2.3 Heat Gains; 2.2.4 Energy Demand; 2.2.5 Energy Consumption and CO2 Emissions; 2.3 Test Models; 2.3.1 Location; 2.3.2 Geometry; 2.3.3 Constructive Systems; 2.4 Climate Context; 2.4.1 Current Climate Zones; 2.4.2 Climate Change Simulation; 2.5 Optimization and Prediction Methods; 2.5.1 Minimal Energy Demand.

متن يادداشت

2.5.2 Multiple Linear Regressions2.5.3 Multilayer Perceptron; References; 3 Energy Demand Analysis; 3.1 Introduction; 3.2 Climate Variation; 3.3 Effects on Annual Energy Demand; 3.3.1 WWR and FR Influence; 3.3.2 Annual Energy Demand for Different Climate Scenarios; 3.3.3 Heating and Cooling Energy Demand for Different Climate Scenarios; 3.4 Effects on Design Strategies; 3.4.1 Evolution on Annual Energy Demand; 3.4.2 Evolution on WWR and FR; 3.5 Discussions; 4 Multiple Linear Regressions; 4.1 Introduction; 4.2 Energy Consumption; 4.3 CO2 Emissions; 4.4 Regression Models Validation.

متن يادداشت

4.5 Discussions5 Artificial Neural Networks; 5.1 Introduction; 5.2 Data Description; 5.3 Data Pre-processing; 5.4 Comparison with Linear Regressions; 5.5 Discussions.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

متن يادداشت

This book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced. It is based upon the authors' extensive research into the design and energy optimization of office buildings in Chile. The authors first introduce a calculation procedure that can be used for the optimization of energy parameters in office buildings, and to predict how a changing climate may affect energy demand. The prediction of energy demand, consumption and CO2 emissions is demonstrated by solving simple equations using the example of Chilean buildings, and the findings are subsequently applied to buildings around the globe. An optimization process based on Artificial Neural Networks is discussed in detail, which predicts heating and cooling energy demands, energy consumption and CO2 emissions. Taken together, these processes will show readers how to reduce energy demand, consumption and CO2 emissions associated with office buildings in the future. Readers will gain an advanced understanding of energy use in buildings and how it can be reduced.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783319901466

عنوان

Energy optimization and prediction in office buildings.

شماره استاندارد بين المللي کتاب و موسيقي

9783319901459

موضوع مستند نشده

Office buildings-- Chile.

موضوع مستند نشده

Office buildings-- Energy conservation-- Chile.

موضوع مستند نشده

ARCHITECTURE-- Buildings-- Public, Commercial & Industrial.

موضوع مستند نشده

Building construction & materials.

موضوع مستند نشده

Energy technology & engineering.

موضوع مستند نشده

Environmentally-friendly architecture & design.

موضوع مستند نشده

Mathematical modelling.

موضوع مستند نشده

Office buildings-- Energy conservation.

موضوع مستند نشده

Office buildings.

موضوع مستند نشده

Optimization.

موضوع مستند نشده

Chile.

بدون عنوان

7

موضوع مستند نشده

ARC-- 011000

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Rubio-Bellido, Carlos

مستند نام اشخاص تاييد نشده

Pérez-Fargallo, Alexis

مستند نام اشخاص تاييد نشده

Pulido-Arcas, Jesús

تاريخ عمليات

20200823115248.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y