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The energy consumption for public lighting represents 17% of the total lighting consumption in Italy (public and private), costing to Italian municipalities more than one billion Euros excluding maintenance costs. Nowadays, despite the existence of many researches that deal with public lighting from a technological and management point of view, there are still few researches carried on from an urban planning perspective. This thesis firstly aims at investigating what are the methods for estimating consumption in relation to public lighting through the use of spatial information and data available today, applying the guidance enclosed in the national and EU legislation. In particular, the first research question will investigate if it is possible to assess the energy demand at the city scale by estimating the overall lighting requirements. Hence, the proposed methodology is structured through an estimation model that starts from the recognition of the requirements (i.e. the luminous flux), and then quantifies the electricity consumption needed. In a following section of the thesis, I will propose to investigate the relationship between the perceptual dimension of the human being who lives and perceives the city through the use of visual analysis (for instance space syntax and visual graph analysis). The identification of public lighting requirements will be explored through a ‘clue-hypotheses’ approach to be further implemented on the basis of the emerging outcomes of the proposed analysis. The lighting system, as it stands, is conceived as a static system that tries to satisfy standards defined by regulation, but often does not meet the real re-quirements which vary according to specific times and places. Hence, the last part is dedicated to the management of the public lighting system aiming at developing a Responsive Smart Lighting System, through an architecture com-posed by new technologies, able to grasp information that after elaboration will support the Decision Making process focusing on one hand on the maintenance system, and on the other on the control of the luminous flux in order to achieve energy and cost savings. In fact, is there any possibility to redevelop the public lighting as an integrated, interoperable, implementable, and especially adaptable system? Which are the technologies and the tools that can make sure that such a system can become a Smart Service? Which are the benefits that can be achieved with this type of service? The purpose of the last section is to explore practices, technologies and solutions in order to assess a new way to manage the public lighting service.
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DESIGNING AND MANAGING PUBLIC LIGHTINGTHE ASSESSMENT OF URBAN PUBLIC LIGHTING CONSUMPTION
AND THE MANAGEMENT OF A RESPONSIVE PUBLIC LIGHTING SYSTEM
STUDENT STEFANO RUSSO 786549
SUPERVISOR PROF. EUGENIO MORELLO
A.A. 2013/2014
POLITECNICO DI MILANOSCUOLA DI ARCHITETTURA E SOCIETÀM.SC. URBAN PLANNING AND POLICY DESIGN
WEDNESDAY, JULY THE 23RD 2014
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
PUBLIC LIGHTINGLIGHTING FOR PUBLIC USE 6,10 TWh
2.000 Mln€1897 kTCO2
INFRASTRUCTURE
LAMPPOSTS 126.000CONSUMPTION 105 GWh(source S.E.A.P. Milano)
MILAN CASE STUDY
EXPENDITURE
TOTAL 2012 EXPENDITURE 32,8 Mln€
COST-TO-POINTLIGHT 236 €MAINTENANCE 43% 14,1 Mln€ELECTRICITY SUPPLY 57% 18,7 Mln€
ITALIAN LIGHTING FRAMEWORK
€
€
2
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
SURFACES
EXTENSION OF MILANO MUNICIPALITYRoad Surfaces 17% 3140 HaOther Surfaces 83%
83% 17%
Other Surfaces
Road Surfaces
SOURCEG.I.S analysis on Milan DBT
3
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
SURFACES
EXTENSION OF MILANO MUNICIPALITYRoad Surfaces 17%
3140 HaVehicular area 67% 2177 Ha
Sidewalks 30% 977 HaPedestrian Areas 3% 100 Ha
SOURCEG.I.S analysis on Milan DBT
67%
30%
3%Vehicular traffic area
Sidewalks
Other pedestrian areas
4
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
VEHICULAR SURFACE CLASSIFICATION OF STREETSA Highway 7%
D Urban expressway 3%
E District urban roads 19%
F Urban Local roads 71%
Autostrade
Strade urbane di scorrimento
Strade urbane di quartiere
Strade locali / ciclopedonali
67%2.177 Ha
5
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
RESEARCH QUESTIONIs it possible to assess the energy demand at the city scale by estimating the overall lighting requirements?
HOT TOPICsLIGHTING INDEX (lx)Target value that measure how muchthe incident light illuminates thesurface, in a perceptive way we couldcall it Brightness
LIGHT REQUIREMENTS (lm)Quantification of the luminous fluxthat the light sources should emit inorder to reach the adequatebrightness.
ENERGY CONSUMPTIONS (Wh)Quantification of the yearlyelectricity consumption useful tosupply the luminous flux required
#2 ASSESSING THE ENERGY CONSUMPTIONQuantify the yearly energy consumed in order to satisfy the requirements
#2 STARTING FROM THE LAW AND THE URBAN ENVIRONMENTIt’s more appealing starting from the morphological and functional dimension of the city
#1 REGARDLESS FROM THE LAMPPOSTSThe lack of information makes the estimation by lampposts worthless
ASSUMPTION
#1 ESTIMATING THE LIGHT REQUIREMENTSQuantify the luminous flux necessary to create visually comfortable urban environment
TARGET
6
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 4Lighting Classification of the roads
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements
PUBLIC AREA
ROADSSTREETS SIDEWALKS
PARKS CYCLE PATHS
7
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 4Lighting Classification of the roads
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements
EUROPEAN TECHNICALSTANDARDS CEN 13201 1-4Definition of the class lighting to be adopted by member states
CODICESTRADALEl.n. 285 del 30/4/92
Definition of the functional classification of the roads
CODICE STRADALE
Ln. 285 del 30/4/92
EUROPEAN TEC. STANDARDS
CEN 13201 1-4
ITALIANTEC. STANDARDS
CEN 13201 1-4
ADOP
TION
WHERE HOW
8
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 3Data recognition and predisposition of the variables
TOPOGRAPHICDATABASE
(DBT Milano)
STREET NETWORK(AMAT)
ROAD AREAS(A010104)
STREET AREAS(A010101)
GRAPH
PEDESTRIAN AREAS
(A010102)
STREET ELEMENTS(L010107)
STREET TOPONOMY(L010107)
ROAD SECTION’S DEFINITION(SIMPLE)
ROAD SECTION’S DEFINITION(COMPLEX)
ROADS WIDTH
STREETS WIDTH
SIDEWALKS WIDTH
SIDEWALKS COUNT
CARRIAGE COUNT
FEATURE ID
ROAD AREA
TYPOLOGICAL CLS.
FUNCTIONAL CLS.
TOPONOMY
ROAD LENGHT
SPEED
JUNCTIONS
WALKABILITY
HISTORICITY
STREET AREAS
SIDEWAL AREAS
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 4Lighting Classification of the roads
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements
9
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
STEP 5Quantification of the light requirements
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 3Data recognition and predisposition of the variables
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 4Lighting Classification of the roads
STEP 6Quantification of the energy consumption
10
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 4Lighting Classification of the roads
P010107Street Elements
«CAT_ILL» = «S3»
«IND_ILL» = «2»
if
«EL_STR_TY» =«010204»
OR =«010301» OR =«0104»
yes
no
«TP_STR_NOM»LIKE«%piazz»
OR =«%giard» yes
no
Is «SPEED»< «50 Km/h»
yes
«CAT_ILL_G» = «ME»
no
«EL_STR_TY» =«010205»
OR =«010206»
«CAT_ILL» = «CE3»
yes
«SPEED» ≤ «30 Km/h»
AND «HISTORIC CENTRE» =«FALSE»
if
«SPEED» ≤ «30 Km/h»
AND «HISTORIC CENTRE» =«TRUE»
if«CAT_ILL» = «CE4»
yes
«CAT_ILL» = «CE5»
yes
«CLASS_STR» =«A»
if
«CAT_ILL» = «ME1»
yes
Is «SPEED» ≥ «130 Km/h»
yes
no
«CAT_ILL» = «ME3»
Is «CLASS_STR»
=«D»
no
Is «CLASS_STR»
=«E»
no
Is «CLASS_STR»
=«F»
no
yes yes
Is «SPEED» ≥ «70 Km/h»
«CAT_ILL» = «ME4»
no
yesyes
«IND_ILL» = «3»
«IND_ILL» = «4»
«IND_ILL» = «6»
if
yes«EL_STR_TY»<> «010205»
OR <> «010206»
no
no
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements
11
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 4Lighting Classification of the roads
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements
12
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 4Lighting Classification of the roads
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 6Quantification of the energy consumption
STEP 5Quantification of the light requirements 38%8% 50% 4%
DISTRIBUTION2 3 4 6
184,2 KMDISTRIBUTION
7,5 LUXILLUMINANCE
10 LUXILLUMINANCE
15 LUXILLUMINANCE
30 LUXILLUMINANCE
922,8 KMDISTRIBUTION
1089,8 KMDISTRIBUTION
52,3 KMDISTRIBUTION
LIGHTING INDEX
2%CE5
98%S3
36%CE4
64%ME4
83% CE3
17%
ME3 100% ME1
PEDESTRIAN ROADSCYCLE PATHS
RESIDENTIALROADS
CROSSINGROUNDABOUTS
HIGHWAY
CHARTS OF THE SPATIAL DISTRIBUTION OF THE LIGHTING INDEXES
13
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
TOTAL FLOW CALCULATION
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 5Quantification of the light requirements
Φ𝑇𝑇𝑇𝑇𝑇𝑇 =𝐸𝐸 ∗ 𝐴𝐴𝐾𝐾𝑢𝑢 ∗ 𝐾𝐾𝑑𝑑
LIGHTINGINDEX
ILLUMINANCE VALUE
( E )
AREA OF REFERENCE
( A )
ROADAREA
UTILIZATIONCOEFFICIENT
( KU )
DEPRECIATIONCOEFFICIENT
( KD )
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 4Lighting Classification of the roads
STEP 6Quantification of the energy consumption
14
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEP 6Quantification of the energy consumption
DEFINITION OF THE YEARLY
NIGHT-HOURS( H )
DEFINITION OF THE MINIMUM
LIGHT EFFICACY( KW/Klum )
YEARLY ENERGY CONSUMPTION
( KWh )
STEP 1Classification of the territory to light-up
STEP 2Examination of the Legal framework
STEP 3Data recognition and predisposition of the variables
STEP 4Lighting Classification of the roads
STEP 5Quantification of the light requirements
15
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
3
YEARLY ENERGY CONSUMPTION BY ILLUMINATING INDEXDISTRIBUTION
4
81 GWH
90%
2 GWH
2%
2 GWHENERGY
2
2%
15 LUXILLUMINANCE
10 LUXILLUMINANCE
7,5 LUXILLUMINANCE
30 LUXILLUMINANCE
6
5 GWH
6%
YEARLY ENERGY CONSUMPTIONTOTAL
90 GWHTOTAL YEARLY
CONSUMPTIONACCORDING
TO THE MODEL
105 GWHTOTAL YEARLY
CONSUMPTIONREPORTED IN
THE YEAR 2005
28 KTON CO2YEARLY
CARBON DIOXIDEEMITTED
32 KTON CO2YEARLY
CARBON DIOXIDEEMITTED
ACCURACY OF THE MODEL COMPAREDWITH THE DATA PROVIDED BY S.E.A.P MILANO
CONSUMED
0,6 KTONCO2 EMITTED
0,6 KTONCO2 EMITTED
1,6 KTONCO2 EMITTED
25 KTONCO2 EMITTED
ENERGYCONSUMED
ENERGYCONSUMED
ENERGYCONSUMEDVs.
PEDESTRIAN ROADSCYCLE PATHS
RESIDENTIALROADS
CROSSINGROUNDABOUTS HIGHWAY
16
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO 17
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO 18
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO 19
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
TAXONOMY STRUCTURE
1 equal to 110 lm/W of Light efficacy ; 1 Streetlight each 25 m2 4.200 hours per Year 3 311 gCO2/kWh
CARRIAGEWAYClassification according the number of the carriage ways
SIDEWALKSClassification according the presence or absence of the sidewalk.
WIDTHClassification range of width.
20
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
METHODOLOGY RESULTSON SITE SURVEY
46,9 MWh
YEARLY CONS.
845Klum
YEARLY LUM. FLOW
14,6 T CO2YEARLY EMISSION
39STREET LIGHT
x 150w 39PEDESTRIANSTREET LIGHT
x 125w 2CROSSINGSTREET LIGHT
x 250w
872KlumYEARLY LUM. FLOW
40,4MWh
YEARLY CONS.
ME3LIGHTINGCATEGORY
4LIGHTINGINDEX
15 LUXILLUMINANCE
12,6 T CO2YEARLY EMISSION
VIA PONZIO
96%
86%
21
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
MANAGEMENT OF A RESPONSIVE PUBLIC LIGHTING SYSTEMSMART LIGHTING
22
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
PUBLIC LIGHTINGLIGHTING FOR PUBLIC USE 6,10 TWh
2.000 Mld€1897 kTCO2
INFRASTRUCTURE
LAMPPOSTS 126.000CONSUMPTION 105 GWh(source S.E.A.P. Milano)
MILAN CASE STUDY
EXPENDITURE
TOTAL 2012 EXPENDITURE 32,8 Mln€
COST-TO-POINTLIGHT 236 €MAINTENANCE 43% 14,1 Mln€ELECTRICITY SUPPLY 57% 18,7 Mln€
ITALIAN LIGHTING FRAMEWORK
23
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
RESEARCH QUESTIONIs there any possibility to redevelop the public lighting as an integrated, interoperable, implementable, and especially adaptable system? Which are the technologies and the tools that can make sure that such a system can become a Smart and Responsive Service?
#2 LACK OF SCHEDULED AND
RESPONSIVE MAINTENANCE Increase of costs Safety condition restore
#1 LIGHTING REQUIREMENTS
VARY DURING THE NIGHT Passive Lighting Weather Conditions
ISSUES
HOT TOPICSLIGHTING MANAGEMENTCollect as much as information inorder to be more AWARE about howthe city behaves and for managingthe service RESPONSIVELY.
LIGHTING SUPPLYManagement and control of theluminous flows
LIGHT MAINTENANCEManagement of the maintenancesystem in order to be Responsiveand Programmed
TARGET#1 OPTIMIZING THE LIGHTING
SUPPLYDevelop an “On-demand” supplying of the luminousflux
#2 OPTIMIZING THE
MAINTENANCE SYSTEMDevelop a Responsive and programmed Maintenance system in order maintaining an adequate security level
24
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
DATA SERVER
ELABORATION CENTER
25
Introduction and Case Study
Target and Assumptions
Methodology
Results
Validation
ASSESSMENT OF THE PUBLIC LIGHTINGCONSUMPTION
Introduction
Target and Assumptions
The Responsive Lighting Architecture
MANAGEMENT OF A RESPONSIVEPUBLIC LIGHTING SYSTEM
FINAL CONSIDERATIONS
WEDNESDAY, JULY THE 23RD 2014 DESIGNING AND MANAGING PUBLIC LIGHTING
STEFANO RUSSO
FINAL CONSIDERATIONS
THE URBAN PLANNER IN THE LIGHTING DESIGN PROCESS
The lighting design, in a detailed scale remains a task to be assigned in the hands of lighting design experts.
The planner is asked to decide where to design better and comfortable lighting, deciding therefore which parts of the cities are candidates to become local Transit Oriented Developmentsnodes
Avoid to locate incompatible functions that increase the lighting requirements.
THE URBAN PLANNER IN THE MANAGEMENT PROCESS
The management of the light flows, calibrated on the basis of the real time demand, is a suitable role for an Urban Planner because of his ability to assess the flows (pedestrian or vehicular).
Adequate regulation of these luminous flows can lead to 30% to 50% of energy savings
The lighting planner, has the skills to take charge of the management sector as well, because of his programmatic skills, becoming mostly a managerial figure of urban maintenance system.
26
GRAZIE PER L’ATTENZIONEDESIGNING AND MANAGING PUBLIC LIGHTING
STUDENT STEFANO RUSSO 786549
SUPERVISOR PROF. EUGENIO MORELLO
A.A. 2013/2014
POLITECNICO DI MILANOSCUOLA DI ARCHITETTURA E SOCIETÀM.SC. URBAN PLANNING AND POLICY DESIGN
WEDNESDAY, JULY THE 23RD 2014
