Energy Efficiency and Renewables in Buildings
Transcript of Energy Efficiency and Renewables in Buildings
Page 1 EMPURON AG Copyright EMPURON AG, 2018
Energy Efficiency and Renewables in Buildings
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Field of application
Energy Management Solutions and Applications for …
Energy management systems for utilities, buildings and industrial resorts based DIN EN ISO 50001, 50003 und 16247 SCADA functionalities and comprehensive set of Standard protocols (IEC 101, 104 etc.)
Virtual power plants (provision of control energy)
Big Data
Artificial Intelligence solutions
Manufacturer independent monitoring for renewable energies
Scheduling systems for battery optimization
Water management based on PV plants
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Benefits and Use Cases
Benefits of EMPURON Solutions for Energy Management
Open system for plant-wide and location spanning energy management
Certified for DIN EN ISO 50001 and 16247, German BAFA certification
Strong on the web, iPad-ready, Android-ready
Independent of the system manufacturer and monitoring of any kind of plant
Fits well into the IT infrastructure – Interfaces for integration in Industry 4.0
Big data capable with full access for the plant operator to re-use the data
Multiprotocol structure: Modbus, KNX, IEC 870-5-101 / 104, IEC 62056-21 ...
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Energy Management Components
Data Warehouse
Analysis
Metering System
Gateways/ Interfaces
Alarm Center
(Web) User Interface
Reporting and Business Intelligence
SCADA Module
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Example of Reports
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Browser SVG Plant Displays – iPad-ready
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Example for layout based display
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Multi-Protocol / Multi-Format Interfaces to the EVE Server
PDWH PDWH
Standard
Data logger
and Modems
EMPURON
GRID Gateway &
Meter2SCADA
Multiprotocol
Subsystems
PLC (adapted
using Modbus
or IEC 104)
RTU (e.g.
Using Modbus
or IEC 104)
OPC based
Communication
Protocols: IEC 61850, 101, 102 103, 104, Modbus RTU/TCP, SPA, HART, Profibus,
DNP3, NEO, FINS, DLMS, IEC 62056-21 (IEC 1107), KNX, OPC, Zigbee,
Zwave, CAN, BACnet, SNMP, HTTP
EMPURON
GRID Gateway &
Meter2SCADA
ETL Access: XML, CSV, XLS, FTP, LDAP, JSON, WSDL, MDM, HIVE, MS-SQL,
Netezza, ORACLE, ParAccel, Teradata, Vertica
Data Sources
EMPURON Server and Data Bases
ETL ERP Systems
Accounting Systems
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Example Hardware for Efficiency and Buildings
Current transducer
Logger/Controls for data collection
Metering and Display
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Layout oriented visualization
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Browser SVG Plant Displays – iPad-ready
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Example Sankey Display – „Energy Allocation“
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EMPURON VISUAL System View
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EMPURON Interfaces
EMPURON Base System
Artificial Neural Networks
EMPURON Process Data Warehouse
Calculation Engine
Roles
Access
Definitions
Browser
Display Client
e.g. HIS HFDORA
Partner Systems
…
Reporting Designer
User
System-
Interfaces Prognosis Pattern Recognition
Scheduling Parameters
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Tra
in
Resu
lts
Long-term Archive
EMPURON Calculation Engine und Artificial Neural Network – Systematic and Dynamic Analyses, Calculations and Reports
• Frequencies • Power data (even sec. cycle) • Event data • Further plant data
Raw data
• Creates time-slots dynami- cally e. g. at limit violation • Calculates key values based on mathematical expressions
Calculation Chain
Importer
Filt
er
for
Tim
e P
eriod
Scheduler
Create report
Create evaluation
Data-Warehouse Reports, based on Calculation Engine and Artificial Neural Network
EMPURON Data Warehouse
• Pattern Recognition: Identify system conditions • Provide Forecasts: E. g. "energy values", "remaining lifetime of component"
Neural Network
Filt
er
for
Tim
e P
eriod
Identify status Provide alarm
Create Forecast
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System base EMPURON EVE.2.8 (On Site Installation)
Fan Less Compact PC
System base
8 GB RAM, i7-Processor, LINIUX- or, on demand, Windows platform
SSD drive for robust use of the system
RAID configuration for runtime optimization
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Scheme for a Cloud Based Energy Management System
ESFE
Storage
PV
=
=
Consumers
Wind
EMPURON Cloud
Plant 1
Further Plants
Date Transfer,
Control and
Optimization
Electrical
Network
ESFE
Storage
PV
Consumers
Plant 2 Wind
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Base functions
Performance forecast based on weather and wind forecasts
Energy market price forecast
Optimization calculation for yield optimization: Calculation of the schedule for storage loading / feed-in taking into account boundary conditions
Standard Resolution: Based on 15-minute values
Time horizon: day-ahead or multi-day time ranges
The EMPURON forecasting system offers simple modeling and can be used for any case conditions (plant size, number of production units, providers of weather forecasts or wind forecasts).
Forecast and Optimisation in the EMPURON Storage Scheduling System
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About EMPURON
EMPURON is a innovative, solvent company, which took part in quite a number R&D projects and delivered together with Siemens reliable system platforms to a lot of utilities. EMPURON is also proven as system services provider to local and international Siemens customers. Experience
Execution / Participation of many German and international large-scale projects of energy automation
Long-term service experience for Spectrum Power systems
Broad knowledge for energy management and Data-Warehousing
Long-term development experience in Siemens and EMPURON systems - Control centers and real-time processing - Interfacing systems - EMPURON Application Server and Historian (EMPURON Process Data-Warehouse)
Execution of big data applications
Continuous development of the EMPURON Historian and Energy Management Platform
Excerpt of important project references:
Austrian Power Grid – “Big Data Historian”, Amprion – “Spectrum Power SNMP supervision”, DEWA – “Process Data Warehouse” and “Spectrum Power SNMP supervision”, REC – “Solar Power Plant Control System”, Union Fenosa – “Historian”
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Thank you for your Audience!