Enabling Smart Cities and Smart Communities

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1 Enabling Smart Cities and Smart Communities 5th Annual Smart Grids & Cleanpower 2013 Conference 5 th June 2013 Cambridge Douglas Cheung Smart Grid Design Engineer Project Manager Smart Cities Energy Group Hitachi Europe

2 Agenda 1. Introduction to Hitachi 2. Portfolio of Smart Solutions 3. Smart Communities Case Studies 4. Collaboration Approach 5. Q&A 2

3 Overview of Hitachi Group Europe 142 companies 10,783 employees $ 9.3 billion sales China 154 companies 42,053 employees $ 13.1 billion sales Hitachi Europe Ltd. Digital Media & Consumer Products Components & Devices Automotive Systems Hitachi (China) Ltd. Hitachi India Pvt. Ltd. Financial Services 8% 7% Hitachi Asia Ltd. 4% 9% 13% 7% Asia (incl. China) 322 companies 78,361 employees $ 24.4 billion sales Hitachi, Ltd. Others 16% $ billion 7% 10% Japan 341 companies 212,302 employees $ 67.5 billion sales 8% 11% Information & Telecommunication Systems Power Systems Social Infrastructure & Industrial Systems North America 75 companies 14,539 employees $ 10.6 billion sales Hitachi America, Ltd. Other Areas 60 companies 7,555 employees $ 6.1 billion sales Construction High Functional Materials & Components Machinery *As of March 31, 2012 Electronic Systems and Equipment 3

4 Hitachi Social Innovation Business Overview Cloud computing Consulting Data centers Storage Information and Communication Systems Infrastructure Systems Eco-friendly city (Water treatment) Construction Elevators and escalators machinery Green mobility Healthcare Energy Smart grids (Thermal, nuclear, renewable) Electrical Power Systems As a global leading company, Hitachi provides multiple solutions to Social Innovation Areas 4

5 Hitachi Solutions Map from Supply to Demand PCS for PV and wind Energy Management System Distribution Management System AMI and MDMS MDMシステム Demand Response, HEMS 検 針 値 収 集 業 務 連 携 検 針 値 保 存 開 閉 器 制 御 システム 監 視 Battery System HVDC Substation (GIS, Tr) STATCOM D-STATCOM EV charger and managing system 5

6 Hitachi Concept of Smart Community Solutions Smart Communities vary in size and character, but are based on common concept of city management and services enabled by an IT infrastructure Green field vs Retrofit Housing Energy station Hospital Shop City Management Factory 50% 50% Green field Retrofit Office building Network communication Security School Energy & Heat Traceability Data center IT Station Customer Service Transportation & Mobility Recycle facility Water Others Smart systems in multiple fields Different approach is required Scalability 30% 10% 30% IP 30% Industrial Park Town District City Core solutions support various sizes of systems 6

7 Hitachi Concept of Smart Community Solutions Evolution Key Factors for Evolution of Smart Community 1 Sustainability (Scalability) Renovation & Development 2 Step-by-step expansion/upgrade with non-stop operation Expanding target systems and Optimisation of all systems Interoperability (Flexibility) Growing Basic models Basic models established through small scale demonstrations 3 4 Reliability Security Connection and cooperation among various systems Stable management of various systems Normal time : Comfortable usage Emergency time : Non-stop operation Share and use information safely and comfortably Protection of information assets in system as a whole Cope with change of security standards 7

8 Hitachi Smart Communities Global Activities CHINA [Tianjin] U.S.A. [Hawaii] UK [South West] SPAIN [Malaga] Eco-City Construction of Model Environmentally Conscious City Remote Island Smart Grid Demonstration IT Voltage Control System Demonstration Project IT Smart Community System Demonstration Project IT CHINA [Guangzhou] U.S.A. [New Mexico] Construction of Knowledge City Smart Grid Demonstration - Battery Storage JAPAN [Okinawa] JAPAN [Rokkasho-village] EV Charge Management System IT Smart Grid Demonstration Site Micro-grid JAPAN [Yokohama] JAPAN [Kashiwa-city] JAPAN [Hitachi-city] Smart City Project Demonstration Kashiwa-no-ha Smart City Project Future City Model in Hitachi City Real business Development & Renovation of Smart City(incl. IT) Energy Mobility Water IT IT 8

9 Japan U.S. Island Grid Project Background RE Capacity(Target): 15% Annual Generation: GWh Wind:30MW PV:12MW Hydro:0.5MW Biomass:12MW RE Capacity(Target): 25% Annual Generation: GWh Wind:72MW PV:42MW* Hydro:0.5MW Biomass:12MW RE Capacity(Target): 40% Annual Generation: GWh Wind:72MW PV:112MW* Hydro:0.5MW Biomass:12MW In Maui, large scale renewable energy has been introduced, and it is expected that there will be high levels of PV and EV penetration Solution for Impact of EV & PV High Penetration Stable Supply of Electric Power Maximum Utilization of Renewable Energy 9

10 Japan U.S. Island Grid Project Overview Issues Excess energy Influence on distribution line voltage Influence on frequency Difficulty in resource planning Data security Solutions μdms &Smart PCS EV charger control Battery system Demand Response ICT Platform 10

11 Japan U.S. Island Grid Project Overview M-to-N EV charging Feasibility management Study system System Design Construction Six cutting-edge initiatives and verification biz model for Smart Grid are core activities for demonstration. Information and control platform Demonstration 1. Efficiency Maximum Utilization of Renewable Energy Advanced load shift technology M2M network 4. Cyber Security Ensure adequate security for system safety M2M network security technology 2.Stabilization/Balancing Direct control to respond to sudden changes in supply and demand Direct load control technology 3. EV stations Establish systems to cope with high EV penetration 5. Autonomous System Energy control via Autonomous Decentralized System μdms, RF mesh network 6. Community and Infrastructure Evolution ICT technologies to improve QOL Information & Control Platform 11

12 Rokkasho Village Demonstration Project Overview Community Energy Management System (C-EMS) provides an integrated optimization system for mid-size and individual renewable energy generation, community energy storage, and Smart houses including HEMS and Plug-in Hybrid cars. C-EMS helps create a 100% CO 2 -free community. (Commenced Sep. 2010) Power Grid Power Distribution Line -Grid side supply and demand management and control (includes power generation and storage) -Energy service integration -Demand side power generation and storage control (includes HEMS functions) Futamata Wind Power Generation Site (JWD) Inter-connection Point PV(100kW) Photovoltaics (Hitachi) Hub Battery (100 kw) Charge/ Discharge NAS Battery (NGK) Multi family building PCS PCS Smart House (Panasonic) Surveillance and Control Information Exchange Charge/ Discharge Control Automatic Surveillance and Control Server (CEMS Server) Heat Pump Control PHV (Plug-in Hybrid Vehicle), PCS (Power Conditioning System) NAS (Sodium-sulfur battery), JWD (Japan Wind Development Co., Ltd.) CEMS (Community Energy Management System) Operator Monitor Smart House (JWD) Information Flow Control Mini- Information Hub Server Control Center (Hitachi) Smart House (Toyota) PHV Charger Energy Service Information Exchange PHV Grid Side Information Demand Side Energy Service Information EV & PHV (Smart Center) Smart House/ Building 12

13 Rokkasho Village System Overview The model for Supply and Demand balance control Rokkashomura-Futamata Wind Power Station HUB battery (NAS battery) Photovoltaic panels Smart Houses Smart Houses <a case of energy demand and supply> <6 Smart Houses> Electricity Demand Wind power Charge Photovoltaic Solar power Charge/Discharge of HUB Battery (*) Discharge (h) (*) Assumption for reducing battery capacity: Includes hub battery and demand-side control (i.e. Heat Pump and PHV charging), these are key to reducing battery cost (= capacity) HEMS: Home Energy Management System DER: Distributed Energy Resources HEMS controls energy production and storage Smart Meter EV charger Rooftop PV Heat pump Air conditioner HEMS display visualises electricity conditions Storage battery Each company (Japan Wind Development, Toyota, Panasonic Corp) built 2 houses and introduced their own equipment for demonstration HEMS controls DER, e.g. wind turbine, PV and energy storage 13

14 Rokkasho Village DLC Result: Self-sufficiency ratio DLC (Direct Load Control) function controls Heat Pumps on/off together with PV generation prediction. These functions convert electricity into hot water which is then stored in the tank (thermal energy storage control) DLC Load Shift for a group of HPs PV Heat Pump PV Heat Pump October/23 PV Generation PV Excess Energy HP load Server 1500 Total Load of community Community Thermal storage control Heat Pump control parameter Electrical Consumption Electrical Consumption Output chart Outside temperature Heat Pump HW Supply Start / Stop Loss HW Storage Tank HW consumption ~ Radiated Heat Loss Water Supply ( C) Outside Temperature ( C) (hour 50.1% of Excess Energy consumed The figure would be 24.5% with DLC Load Shift for individual HPs The self-sufficiency ratio = 83% The figure of DLC load shift for individual HPs is calculated by simulation 14

15 UK Smart Grid Case Study LCNF project with WPD LCNF Tier 1 project As DG (Distributed Generation) becomes more common, the Background D-STATCOM growing number of renewable connections to distribution lines is expected to cause voltage fluctuations (specifically high or low voltage) due to the variable power output of the DG. In turn this can affect the efficiency and capacity of the distribution network. Wind Farm 11kv OH line Goals Determine the effectiveness of D-STATCOM as a dynamic voltage control system in rural 11kV networks to address voltage fluctuation. Optimise control by using a D-VQC (Voltage and Reactive Power Control System) to network multiple D-STATCOMs. Scope 2 Strand project, initially 1 D-STATCOM as proof of concept, then 3 additional units as well as a D-VQC server. Expected Benefits Improvement of power quality and mitigation of voltage spikes issues, thereby increasing network stability, efficiency and load capacity in distribution networks. Learning from project will be beneficial for informing DNOs business case for alternative responses to network rebuild. 4 Project Locations Agreed Substation Tentative 15

16 ETI Smart Systems & Heat Programme Overview Launched in April 2012, the focus of the programme is the design, development and demonstration of a first-of-a-kind energy system aligned with the needs of UK consumers in the domestic and small commercial sectors with a particular focus on heat delivery. Hitachi was announced as Programme Associate. There are four key themes: Understanding real mass-market consumer behaviour in order to design and communicate effective service products Providing energy services and integrated products to consumers in domestic and commercial buildings (primarily domestic & retrofit) Space and water heating but including other energy service needs in or connected to buildings Understanding the evolution of the whole energy system out to 2050, including building retrofits and energy distribution choices 16

17 ETI Smart Systems & Heat Programme Overview Budget of 100mil allocated over 5 years, culminating into the demonstration of a first of its kind Smart Energy System in the UK Hitachi is involved in the delivery of several WAs awarded through open competitive tendering: WA1.1 Enabling Technologies WA3.1 Data Management and Overall System Architecture WA5 Consumer Response and Behaviour + other subcontractors Hitachi as Consortium Leader + other subcontractors Hitachi as a Prime Contractor Hitachi as a Sub-contractor 17

18 Current Smart Community Model Under Discussion Smart community energy storage system Mini-DVQC Mini-DVQC Brokerage Agent Brokerage Agent PCS & Battery Brokerage Agent PCS & Battery Brokerage Agent Energy Community/Local Energy Market Mini-DVQC Mini-DVQC PCS & Battery PCS & Battery AGGREGATOR PCS associated with Batteries for 4-quadrant voltage control on low voltage grid connected with PVs & low carbon loads(heat pump/ev charger) Mini-DVQC to control networked PCSs Involvement of Aggregator to test aggregation of storage from batteries Deployment of a high-level management system which optimises multiple Mini-DVQCs and other assets on the network 18

19 Ecosystem of Partners and Collaborators in the UK Establish value that is tailored for each country or region with local partners Consumer Government Construction of new eco-system by innovation in social infrastructure Business Collaborate with customer Developer General contractor Total engineering Industrial, transportation, city development system Info and comms system Power system Material, key device Total Engineering Manufacture Business firm Collaborate with partners Operating company 19

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